Prof. Emil Y. Sidky Profile

Prof. Emil Y. Sidky

Research Professor at Univ of Chicago Medicine

SPIE Involvement:

Author

Publications (97)

Proceedings Article | 29 May 2024 Paper

Quantitative imaging of iodine-based contrast agent in dual-energy DBT

Emil Sidky, Xiangyi Wu, Xiaoyu Duan, Hailiang Huang, Wei Zhao, Leo Zhang, John Paul Phillips, Zheng Zhang, Buxin Chen, Dan Xia, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 13174, 1317402 (2024) https://doi.org/10.1117/12.3026587

KEYWORDS: Digital breast tomosynthesis, Contrast agents, Tumors, Reconstruction algorithms, Iodine, Image processing

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Proceedings Article | 29 March 2024 Presentation + Paper

Investigation of different model observers for including signal-detectability in the training of CNNs for CT image reconstruction

Gregory Ongie, Megan Lantz, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12929, 129290E (2024) https://doi.org/10.1117/12.3008784

KEYWORDS: Signal detection, Image restoration, Eye models, CT reconstruction, Deep learning, Convolutional neural networks, Medical image reconstruction

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Proceedings Article | 7 April 2023 Poster + Paper

Accurate image reconstruction in dual-energy CT with limited-angular-range data from completely non-overlapping scanning arcs

Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12463, 1246330 (2023) https://doi.org/10.1117/12.2654073

KEYWORDS: 3D image reconstruction, Dual energy imaging, Data modeling, Algorithm development, Mathematical optimization, Iodine, Computed tomography, Chest, Reconstruction algorithms

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Proceedings Article | 7 April 2023 Poster + Paper

Material decomposition for photon-counting CT using a flux-independent neural network

James Castiglioni, Emil Sidky, Taly Gilat Schmidt

Proceedings Volume 12463, 124634A (2023) https://doi.org/10.1117/12.2655714

KEYWORDS: Polymethylmethacrylate, Aluminum, Neural networks, Diagnostics, Calibration, X-rays

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Proceedings Article | 7 April 2023 Poster + Paper

Experimental dual-kV reconstructions of objects containing metal using the cOSSCIR algorithm

Benjamin Rizzo, Emil Sidky, Taly Gilat Schmidt

Proceedings Volume 12463, 124634C (2023) https://doi.org/10.1117/12.2655724

KEYWORDS: X-rays, Reconstruction algorithms, Titanium, X-ray imaging, X-ray detectors, Spectral response, Image restoration, CT reconstruction, Spectral computed tomography

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Proceedings Article | 7 April 2023 Presentation + Paper

Preliminary investigation of image reconstruction from data over reduced angular range in spectral-spatial electron paramagnetic resonance imaging

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Boris Epel, Zhiwei Qiao, Howard Halpern, Xiaochuan Pan

Proceedings Volume 12463, 124630S (2023) https://doi.org/10.1117/12.2654386

KEYWORDS: Image restoration, Reconstruction algorithms, Algorithm development, Data modeling, Data acquisition, 3D image reconstruction, 3D image processing, Signal to noise ratio

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Proceedings Article | 18 October 2022 Open Access

Evaluation of deep learning-based CT reconstruction with a signal-Laplacian model observer

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12304, 123040U (2022) https://doi.org/10.1117/12.2647039

KEYWORDS: Signal detection, Interference (communication), Signal to noise ratio, CT reconstruction, Smoothing, Statistical modeling, Performance modeling, Imaging systems, Data modeling, Breast

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Proceedings Article | 18 October 2022 Open Access

Preliminary study on image reconstruction for limited-angular-range dual-energy CT using two-orthogonal, overlapping arcs

Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12304, 123041P (2022) https://doi.org/10.1117/12.2647074

KEYWORDS: Reconstruction algorithms, Data modeling, Computed tomography, Visualization, Photoelectric effect, Compton scattering, X-rays, Dual energy imaging

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Proceedings Article | 18 October 2022 Open Access

Exploiting voxel-sparsity for bone imaging with sparse-view cone-beam computed tomography

Emil Sidky, Holly Stewart, Christopher Kawcak, C. Wayne McIlwraith, Martine Duff, Xiaochuan Pan

Proceedings Volume 12304, 123041Y (2022) https://doi.org/10.1117/12.2646892

KEYWORDS: Bone imaging, Image quality, Spatial resolution, Reconstruction algorithms, Computed tomography, X-ray imaging

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Proceedings Article | 18 October 2022 Open Access

Material decomposition from unregistered dual kV data using the cOSSCIR algorithm

Benjamin Rizzo, Emil Sidky, Taly Gilat Schmidt

Proceedings Volume 12304, 123042F (2022) https://doi.org/10.1117/12.2647034

KEYWORDS: Dual energy imaging, Image restoration, X-ray computed tomography, Spectral computed tomography

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Proceedings Article | 18 October 2022 Open Access

CT imaging with truncated data over limited-angular ranges

Dan Xia, Zheng Zhang, Buxin Chen, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12304, 123040D (2022) https://doi.org/10.1117/12.2646893

KEYWORDS: Reconstruction algorithms, Image restoration, Sensors, Computed tomography, Head, Algorithm development, X-rays, X-ray imaging, Detection and tracking algorithms, Data acquisition

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Proceedings Article | 18 October 2022 Open Access

Image reconstruction in phase-contrast CT with shortened scans

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Mark Anastasio, Xiaochuan Pan

Proceedings Volume 12304, 123042A (2022) https://doi.org/10.1117/12.2646432

KEYWORDS: Reconstruction algorithms, Data modeling, Algorithm development, Image restoration, X-ray computed tomography, X-rays, Refractive index, Mathematical modeling, Computed tomography, X-ray imaging

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Proceedings Article | 18 October 2022 Open Access

Iterative image reconstruction for CT with unmatched projection matrices using the generalized minimal residual algorithm

Emil Sidky, Per Christian Hansen, Jakob Jørgensen, Xiaochuan Pan

Proceedings Volume 12304, 1230406 (2022) https://doi.org/10.1117/12.2646511

KEYWORDS: Computed tomography, Reconstruction algorithms, Image restoration, Matrices, Image quality, Image processing, CT reconstruction, Data modeling, Systems modeling

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Impact of angular sampling interval on image reconstruction from limited-angular-range data

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12031, 1203138 (2022) https://doi.org/10.1117/12.2612960

KEYWORDS: Reconstruction algorithms, Algorithm development, Convex optimization, Computed tomography, CT reconstruction

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Image reconstruction from partially truncated data over limited-angular-ranges

Dan Xia, Zheng Zhang, Buxin Chen, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12031, 1203137 (2022) https://doi.org/10.1117/12.2613137

KEYWORDS: Reconstruction algorithms, Algorithm development, Optimization (mathematics), Imaging systems, Data acquisition

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Simultaneous correction of limited-angular-range and beam-hardening artifacts in dual-energy CT

Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12031, 120313C (2022) https://doi.org/10.1117/12.2611975

KEYWORDS: Data corrections, Data modeling, Algorithm development, X-rays, Reconstruction algorithms, Computed tomography, Dual energy imaging, CT reconstruction

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Proceedings Article | 4 April 2022 Presentation + Paper

Optimizing model observer performance in learning-based CT reconstruction

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12035, 120350A (2022) https://doi.org/10.1117/12.2613050

KEYWORDS: Signal detection, Signal attenuation, Performance modeling, Breast, Data modeling, CT reconstruction, Signal to noise ratio, Neural networks, Computed tomography, Network architectures

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Proceedings Article | 15 February 2021 Presentation + Paper

Stability of a spectral calibration model with non-linear intensity correction for photon-counting detectors

Emily Paul, Emil Sidky, Taly Gilat-Schmidt, Xiaochuan Pan

Proceedings Volume 11595, 115951Y (2021) https://doi.org/10.1117/12.2581246

KEYWORDS: Calibration, Spectral calibration, Sensors, Photodetectors, Spectral models, Zinc, Polymethylmethacrylate, Photons, Computed tomography, Biological research

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Accurate reconstruction of cross-section images from limited-angular-range data in human-limb imaging

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 11595, 115952E (2021) https://doi.org/10.1117/12.2581985

KEYWORDS: Image restoration, Televisions, Reconstruction algorithms, Convex optimization

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Proceedings Article | 15 February 2021 Presentation + Paper

Non-linear partial volume artifact reduction in spectral CT one step direct inversion reconstruction

Benjamin Rizzo, Emil Sidky, Taly Gilat Schmidt

Proceedings Volume 11595, 115951X (2021) https://doi.org/10.1117/12.2582236

KEYWORDS: Metals, Sensors, Data modeling, X-ray computed tomography, Photons, Signal attenuation, X-rays, Reconstruction algorithms, Pathology, Image restoration

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Investigation of image reconstruction for digital breast tomosynthesis imaging by use of directional TV constraint

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 11595, 115952F (2021) https://doi.org/10.1117/12.2581968

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Digital imaging, Image restoration, Mammography, Algorithm development, Yield improvement

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Proceedings Article | 15 February 2021 Presentation + Paper

Investigation of the linearized spectral contribution in the simultaneous estimation of spectra and basis images in multispectral CT reconstruction

Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 11595, 115951F (2021) https://doi.org/10.1117/12.2581693

KEYWORDS: Multispectral imaging, CT reconstruction, Data modeling

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Proceedings Article | 15 February 2021 Presentation + Paper

A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction

John Paul Phillips, Emil Sidky, Greg Ongie, Weimin Zhou, Juan Cruz-Bastida, Ingrid Reiser, Mark Anastasio, Xiaochuan Pan

Proceedings Volume 11599, 115990D (2021) https://doi.org/10.1117/12.2581248

KEYWORDS: Image restoration, Signal detection, Reconstruction algorithms, Nonlinear optics, X-ray computed tomography, Optimization (mathematics), Medical imaging, Image quality, Detection and tracking algorithms

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SPIE Journal Paper | 6 October 2020

Optimization-based algorithm for solving the discrete x-ray transform with nonlinear partial volume effect

Buxin Chen, Xin Liu, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

JMI, Vol. 7, Issue 05, 053502, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.053502

KEYWORDS: Algorithm development, Reconstruction algorithms, Optimization (mathematics), X-rays, Sensors, Data modeling, X-ray computed tomography, Detection and tracking algorithms, Convex optimization, Algorithms

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Proceedings Article | 16 March 2020 Presentation + Paper

Spectral CT metal artifact reduction using weighted masking and a one step direct inversion reconstruction algorithm

Taly Gilat Schmidt, Rina Foygel Barber, Emil Sidky

Proceedings Volume 11312, 113121F (2020) https://doi.org/10.1117/12.2550337

KEYWORDS: Metals, Sensors, Reconstruction algorithms, Binary data, Image filtering, X-ray computed tomography, Photon counting

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Proceedings Article | 16 March 2020 Presentation + Paper

Supervised learning of model observers for assessment of CT image reconstruction algorithms

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 11316, 113160B (2020) https://doi.org/10.1117/12.2549817

KEYWORDS: Reconstruction algorithms, Signal detection, CT reconstruction, Machine learning, Statistical modeling, Neural networks

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Proceedings Article | 28 May 2019 Paper

A preliminary study on explicit compensation for the non-linear-partial-volume effect in CT

Xin Liu, Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 11072, 110720F (2019) https://doi.org/10.1117/12.2534171

KEYWORDS: Data modeling, Reconstruction algorithms, Algorithm development, Optimization (mathematics), Mathematical modeling, X-ray detectors, X-rays, Nonlinear image processing

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Proceedings Article | 28 May 2019 Paper

Bone sparsity model for computed tomography image reconstruction

Emil Sidky, Holly Stewart, Christopher Kawcak, C. Wayne McIlwraith, Martine Duff, Xiaochuan Pan

Proceedings Volume 11072, 110721U (2019) https://doi.org/10.1117/12.2534947

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Proceedings Article | 28 May 2019 Paper

Preliminary investigation of optimization-based image reconstruction for TOF PET with sparse configurations

Zheng Zhang, Buxin Chen, Amy Perkins, Chien-Min Kao, Emil Sidky, Ravindra Manjeshwar, Xiaochuan Pan

Proceedings Volume 11072, 110720L (2019) https://doi.org/10.1117/12.2534846

KEYWORDS: Reconstruction algorithms, Image restoration, Positron emission tomography, Algorithm development, Scanners, Image quality

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Proceedings Article | 1 March 2019 Paper

Prototyping optimization problems for digital breast tomosynthesis image reconstruction with a primal-dual algorithm

Emil Sidky, Ingrid Reiser, Sean Rose, Xiaochuan Pan

Proceedings Volume 10948, 1094852 (2019) https://doi.org/10.1117/12.2513337

KEYWORDS: Digital breast tomosynthesis, Optimization (mathematics), Breast, Reconstruction algorithms, Prototyping, Visualization

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Proceedings Article | 1 March 2019 Paper

Optimization-based reconstruction for correcting non-linear partial volume artifacts in CT

Xin Liu, Buxin Chen, Zheng Zhang, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10948, 109482Q (2019) https://doi.org/10.1117/12.2512917

KEYWORDS: Reconstruction algorithms, Algorithm development, Optimization (mathematics), CT reconstruction, Computed tomography

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Proceedings Article | 1 March 2019 Paper

Filtered back-projection for digital breast tomosynthesis with 2D filtering

Sean Rose, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 10948, 1094851 (2019) https://doi.org/10.1117/12.2513342

KEYWORDS: Digital breast tomosynthesis, X-ray sources, Digital filtering, Reconstruction algorithms

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SPIE Journal Paper | 11 January 2019

Imaging of fiber-like structures in digital breast tomosynthesis

Sean Rose, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

JMI, Vol. 6, Issue 03, 031404, (January 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031404

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Structured optical fibers, Image restoration, Sensors, Image filtering, Data modeling, X-ray sources, Computer simulations, Visualization

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Proceedings Article | 6 July 2018 Paper

Orientation dependent detectability of fiber-like signals in linear iterative image reconstruction for breast tomosynthesis

Sean Rose, Ingrid Reiser, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10718, 107180T (2018) https://doi.org/10.1117/12.2318463

KEYWORDS: Signal detection, Reconstruction algorithms, Digital breast tomosynthesis, Breast, Signal to noise ratio

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Proceedings Article | 9 March 2018 Paper

Algorithm enabled TOF-PET imaging with reduced scan time

Zheng Zhang, Sean Rose, Jinghan Ye, Amy Perkins, Buxin Chen, Emil Sidky, Chien-Min Kao, Chi-Hua Tung, Xiaochuan Pan

Proceedings Volume 10573, 105733T (2018) https://doi.org/10.1117/12.2294045

KEYWORDS: Reconstruction algorithms, Positron emission tomography, Optimization (mathematics), Prototyping, Yield improvement, Algorithm development

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Proceedings Article | 9 March 2018 Paper

Optimization-based design for artifact reduction in advanced diagnostic CT

Dan Xia, Yan Liu, Zhou Yu, Buxin Chen, Richard Thompson, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10573, 105734A (2018) https://doi.org/10.1117/12.2292054

KEYWORDS: Reconstruction algorithms, Diagnostics, Image restoration, Computed tomography, Data modeling, Optimization (mathematics), Detection and tracking algorithms, Sensors, Scanners, Head

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Proceedings Article | 9 March 2018 Presentation + Paper

Artifacts reduction in low-contrast neurological imaging with C-arm system

Dan Xia, Yu-Bing Chang, Adnan Siddiqui, Zheng Zhang, Joe Manak, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10573, 105731S (2018) https://doi.org/10.1117/12.2293629

KEYWORDS: Reconstruction algorithms, Imaging systems, Data modeling, Sensors, Image restoration, Imaging devices, Optimization (mathematics), Head, Hough transforms, Visualization

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Proceedings Article | 7 March 2018 Presentation + Paper

Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis

Sean Rose, Jacob Roth, Cole Zimmerman, Ingrid Reiser, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10577, 105770P (2018) https://doi.org/10.1117/12.2293805

KEYWORDS: Signal detection, Systems modeling, Digital breast tomosynthesis, Data modeling, Signal to noise ratio, Breast

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Proceedings Article | 9 March 2017 Paper

X-ray spectral calibration from transmission measurements using Gaussian blur model

Wooseok Ha, Emil Sidky, Rina Barber

Proceedings Volume 10132, 101323D (2017) https://doi.org/10.1117/12.2254406

KEYWORDS: X-rays, Spectral calibration, Spectral models, Image restoration, Reconstruction algorithms, Sensors, X-ray computed tomography, Calibration, X-ray imaging, CT reconstruction, Error analysis, Computer simulations, Convex optimization

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Proceedings Article | 9 March 2017 Presentation + Paper

Spectral CT metal artifact reduction with an optimization-based reconstruction algorithm

Taly Gilat Schmidt, Rina Barber, Emil Sidky

Proceedings Volume 10132, 101321B (2017) https://doi.org/10.1117/12.2249079

KEYWORDS: Metals, Reconstruction algorithms, Computer simulations, Computed tomography, Data modeling, Photon counting, CT reconstruction, Data acquisition, Algorithm development, Bone, Image filtering, Optimization (mathematics)

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Proceedings Article | 9 March 2017 Paper

Choosing anisotropic voxel dimensions in optimization-based image reconstruction for limited angle CT

C. Sheng, R. Chaudhari, Sean Rose, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10132, 101322X (2017) https://doi.org/10.1117/12.2254292

KEYWORDS: Image restoration, X-ray computed tomography, Reconstruction algorithms, Computed tomography, Distortion, Spatial resolution, Statistical analysis, CT reconstruction, Optimization (mathematics), Single photon emission computed tomography, Data modeling, Sensors, Image resolution

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Proceedings Article | 1 April 2016 Paper

A method for investigating system matrix properties in optimization-based CT reconstruction

Sean Rose, Emil Sidky, Xiaochuan Pan

Proceedings Volume 9783, 97834M (2016) https://doi.org/10.1117/12.2217111

KEYWORDS: CT reconstruction, Image restoration, X-ray computed tomography, X-ray imaging, X-rays, Image quality, Computing systems, Computed tomography, Data modeling, Image resolution, Reconstruction algorithms, Breast, Sensors, Medical imaging

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Proceedings Article | 1 April 2016 Paper

X-ray spectrum estimation from transmission measurements by an exponential of a polynomial model

Boris Perkhounkov, Jessika Stec, Emil Sidky, Xiaochuan Pan

Proceedings Volume 9783, 97834W (2016) https://doi.org/10.1117/12.2217100

KEYWORDS: X-rays, Computer simulations, Computed tomography, X-ray computed tomography, X-ray imaging, Spectral calibration, Error analysis, Single photon emission computed tomography, Photons

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Proceedings Article | 1 April 2016 Paper

Optimization-based reconstruction for reduction of CBCT artifact in IGRT

Dan Xia, Zheng Zhang, Pascal Paysan, Dieter Seghers, Marcus Brehm, Peter Munro, Emil Sidky, Charles Pelizzari, Xiaochuan Pan

Proceedings Volume 9783, 97834B (2016) https://doi.org/10.1117/12.2217234

KEYWORDS: Reconstruction algorithms, Computed tomography, Image guided radiation therapy, CT reconstruction, Image analysis, 3D image processing, Data acquisition, Image quality, Image resolution, Spatial resolution, Imaging systems, Image restoration, Data modeling, Tumors, Sensors, Medical imaging

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Proceedings Article | 25 March 2016 Paper

Initial experience in primal-dual optimization reconstruction from sparse-PET patient data

Zheng Zhang, Jinghan Ye, Buxin Chen, Amy Perkins, Sean Rose, Emil Sidky, Chien-Min Kao, Dan Xia, Chi-Hua Tung, Xiaochuan Pan

Proceedings Volume 9783, 97831K (2016) https://doi.org/10.1117/12.2216627

KEYWORDS: Positron emission tomography, Reconstruction algorithms, Algorithm development, Image quality, Optimization (mathematics), Scanners

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Proceedings Article | 22 March 2016 Paper

Efficient iterative image reconstruction algorithm for dedicated breast CT

Natalia Antropova, Adrian Sanchez, Ingrid Reiser, Emil Sidky, John Boone, Xiaochuan Pan

Proceedings Volume 9783, 97834K (2016) https://doi.org/10.1117/12.2216933

KEYWORDS: Reconstruction algorithms, Breast, X-ray computed tomography, Image restoration, Image enhancement, Breast cancer, Mammography, X-rays, Image quality, Prototyping, Algorithm development, Data modeling, Computed tomography

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SPIE Journal Paper | 22 December 2015 Open Access

Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis

Adrian Sánchez, Emil Sidky, Xiaochuan Pan

JMI, Vol. 3, Issue 01, 011008, (December 2015) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.011008

KEYWORDS: Reconstruction algorithms, Sensors, Digital breast tomosynthesis, Signal to noise ratio, Image restoration, Signal detection, Optical filters, Detection and tracking algorithms, Data modeling, Image filtering

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Proceedings Article | 18 March 2015 Paper

Investigation of a one-step spectral CT reconstruction algorithm for direct inversion into basis material images

Taly Gilat Schmidt, Emil Sidky

Proceedings Volume 9412, 94124Y (2015) https://doi.org/10.1117/12.2082057

KEYWORDS: Reconstruction algorithms, Detection and tracking algorithms, Gadolinium, CT reconstruction, Bone, Sensors, Computer simulations, Image analysis, Photodetectors, Computed tomography

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Proceedings Article | 18 March 2015 Paper

Application of a non-convex smooth hard threshold regularizer to sparse-view CT image reconstruction

Sean Rose, Emil Sidky, Xioachuan Pan

Proceedings Volume 9412, 941206 (2015) https://doi.org/10.1117/12.2082116

KEYWORDS: Reconstruction algorithms, CT reconstruction, Breast, Photons, Optimization (mathematics), Computer simulations, Image restoration, Computed tomography, Sensors, X-ray computed tomography

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Proceedings Article | 18 March 2015 Paper

Volume-of-interest reconstruction from severely truncated data in dental cone-beam CT

Zheng Zhang, Budi Kusnoto, Xiao Han, E. Sidky, Xiaochuan Pan

Proceedings Volume 9412, 94124M (2015) https://doi.org/10.1117/12.2082571

KEYWORDS: Sensors, Image restoration, Teeth, Reconstruction algorithms, Visualization, Calibration, Data modeling, Computed tomography, Data acquisition, CT reconstruction

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Proceedings Article | 18 March 2015 Paper

Robust iterative image reconstruction for breast CT by use of projection differentiation

David Kraemer, Erin Roth, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 9412, 94123I (2015) https://doi.org/10.1117/12.2082444

KEYWORDS: Image restoration, Data modeling, Condition numbers, Breast, X-ray computed tomography, Computed tomography, Reconstruction algorithms, X-rays, Sensors, Image filtering

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Proceedings Article | 18 March 2015 Paper

Improving depth resolution in digital breast tomosynthesis by iterative image reconstruction

Erin Roth, David Kraemer, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 9412, 941258 (2015) https://doi.org/10.1117/12.2082429

KEYWORDS: Digital breast tomosynthesis, Optical filters, Image restoration, Image resolution, Tissues, Digital filtering, Mammography, Matrices, Image filtering, Data modeling

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Proceedings Article | 18 March 2015 Paper

Evaluation of spectral CT data acquisition methods via non-stochastic variance maps

Adrian Sanchez, Emil Sidky, Taly Gilat Schmidt, Xiaochuan Pan

Proceedings Volume 9412, 941211 (2015) https://doi.org/10.1117/12.2081965

KEYWORDS: Data acquisition, Sensors, Reconstruction algorithms, Computed tomography, X-rays, Photon counting, X-ray computed tomography, Statistical analysis, Polymethylmethacrylate, Medical imaging

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Proceedings Article | 17 March 2015 Paper

Image-domain sampling properties of the Hotelling Observer in CT using filtered back-projection

Adrian Sanchez, Emil Sidky, Xiaochuan Pan

Proceedings Volume 9416, 94161F (2015) https://doi.org/10.1117/12.2081984

KEYWORDS: X-ray computed tomography, Signal detection, Image filtering, Image quality, Interference (communication), Signal to noise ratio, X-rays, Medical imaging, X-ray imaging, Image compression

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SPIE Journal Paper | 8 December 2014 Open Access

Region of interest based Hotelling observer for computed tomography with comparison to alternative methods

Adrian Sanchez, Emil Sidky, Xiaochuan Pan

JMI, Vol. 1, Issue 03, 031010, (December 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.031010

KEYWORDS: Statistical analysis, Signal to noise ratio, Error analysis, Computed tomography, Reconstruction algorithms, Optimization (mathematics), X-ray computed tomography, Breast, Sensors, Image filtering

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SPIE Journal Paper | 3 October 2014 Open Access

Analysis of iterative region-of-interest image reconstruction for x-ray computed tomography

Emil Sidky, David Kraemer, Erin Roth, Christer Ullberg, Ingrid Reiser, Xiaochuan Pan

JMI, Vol. 1, Issue 03, 031007, (October 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.031007

KEYWORDS: X-ray computed tomography, Image restoration, Reconstruction algorithms, Algorithm development, CT reconstruction, Data modeling, Image filtering, Optimization (mathematics), Medical imaging, X-rays

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Proceedings Article | 19 March 2014 Paper

Estimation of sparse null space functions for compressed sensing in SPECT

Joyeeta Mitra Mukherjee, Emil Sidky, Michael King

Proceedings Volume 9033, 90330X (2014) https://doi.org/10.1117/12.2043611

KEYWORDS: Sensors, Compressed sensing, Imaging systems, Collimators, Optical resolution, Single photon emission computed tomography, Image resolution, Wavelets, Optical imaging, Brain imaging

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Proceedings Article | 19 March 2014 Paper

Experimental study of two material decomposition methods using multi-bin photon counting detectors

Kevin Zimmerman, Emil Sidky, Taly Gilat Schmidt

Proceedings Volume 9033, 90333G (2014) https://doi.org/10.1117/12.2043679

KEYWORDS: Calibration, Polymethylmethacrylate, Aluminum, Sensors, Photodetectors, Photon counting, Signal attenuation, X-rays, Nickel, Error analysis

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Photon-counting detectors with multi-bin pulse height analysis (PHA) are capable of extracting energy dependent information which can be exploited for material decomposition. Iterative decomposition algorithms have been previously implemented which require prior knowledge of the source spectrum, detector spectral response, and energy threshold settings. We experimentally investigated two material decomposition methods that do not require explicit knowledge of the source spectrum and spectral response. In the first method, the effective spectrum for each energy bin is estimated from calibration transmission measurements, followed by an iterative maximum likelihood decomposition algorithm. The second investigated method, first proposed and tested through simulations by Alvarez, uses a linearized maximum likelihood estimator which requires calibration transmission measurements. The Alvarez method has the advantage of being non-iterative. This study experimentally quantified and compared the material decomposition bias, as a percentage of material thickness, and standard deviation resulting from these two material decomposition estimators. Multi-energy x-ray transmission measurements were acquired through varying thicknesses of Teon, Delrin, and neoprene at two different flux settings and decomposed into PMMA and aluminum thicknesses using the investigated methods. In addition, a series of 200 equally spaced projections of a rod phantom were acquired over 360°. The multi-energy sinograms were decomposed using both empirical methods and then reconstructed using filtered backprojection producing two images representing each basis material. The Alvarez method decomposed Delrin into PMMA with a bias of 0.5-19% and decomposed neoprene into aluminum with a bias of less than 3%. The spectral estimation method decomposed Delrin into PMMA with a bias of 0.6-16% and decomposed neoprene into aluminum with a bias of 0.1-58%. In general, the spectral estimation method resulted in larger bias than the Alvarez method. Both methods demonstrated similar standard deviations of less than 1 mm. Both decomposition methods resulted in similar bias and standard deviation when comparing performance at the two flux levels. The results suggest preliminary feasibility of two empirical methods that use calibration measurements rather than prior knowledge of system parameters to estimate thicknesses of the basis materials.

Proceedings Article | 19 March 2014 Paper

Enhancing tissue structures with iterative image reconstruction for digital breast tomosynthesis

Emil Sidky, Ingrid Reiser, Robert Nishikawa, Xiaochuan Pan

Proceedings Volume 9033, 90330W (2014) https://doi.org/10.1117/12.2043776

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Tissues, Image restoration, X-rays, Image filtering, Data modeling, Image enhancement, Tomography, Algorithm development

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Proceedings Article | 19 March 2014 Paper

Effects of energy-bin acquisition methods on noise properties in photon-counting spectral CT

Taly Gilat Schmidt, Kevin Zimmerman, Emil Sidky

Proceedings Volume 9033, 90331B (2014) https://doi.org/10.1117/12.2043932

KEYWORDS: X-rays, Sensors, Polymethylmethacrylate, Aluminum, Computer simulations, Photons, Data acquisition, X-ray imaging, Photodetectors, Spectral models

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Proceedings Article | 11 March 2014 Paper

Task-based optimization of image reconstruction in breast CT

Adrian Sanchez, Emil Sidky, Xiaochuan Pan

Proceedings Volume 9037, 90370J (2014) https://doi.org/10.1117/12.2043785

KEYWORDS: Breast, Signal to noise ratio, Signal detection, Computed tomography, Image restoration, Image quality, Reconstruction algorithms, Signal attenuation, Medical imaging, Sensors

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Proceedings Article | 28 March 2013 Paper

Analysis of detectability loss through fan-beam x-ray computed tomography reconstruction

Adrian Sanchez, Emil Sidky, Xiaochuan Pan

Proceedings Volume 8673, 86731P (2013) https://doi.org/10.1117/12.2007179

KEYWORDS: Signal detection, Reconstruction algorithms, Sensors, Signal attenuation, Signal to noise ratio, Detection and tracking algorithms, Data modeling, X-ray computed tomography, CT reconstruction, Interference (communication)

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Proceedings Article | 22 March 2012 Paper

A preliminary investigation of reduced-view image reconstruction from low dose breast CT data

Junguo Bian, Xiao Han, Kai Yang, Emil Sidky, John Boone, Xiaochuan Pan

Proceedings Volume 8313, 831325 (2012) https://doi.org/10.1117/12.911325

KEYWORDS: Reconstruction algorithms, Breast, Image restoration, Computed tomography, Data modeling, Algorithm development, Data acquisition, Scanners, Mammography, Prototyping

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Proceedings Article | 3 March 2012 Paper

Sampling conditions for gradient-magnitude sparsity based image reconstruction algorithms

Emil Sidky, Jakob Jørgensen, Xiaochuan Pan

Proceedings Volume 8313, 831337 (2012) https://doi.org/10.1117/12.913307

KEYWORDS: Image restoration, Computed tomography, Head, Reconstruction algorithms, X-ray computed tomography, CT reconstruction, Imaging arrays, Data modeling, Breast, Sensors

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Proceedings Article | 22 February 2012 Paper

Utilizing the Hotelling template as a tool for CT image reconstruction algorithm design

Adrian Sanchez, Emil Sidky, Xiaochuan Pan

Proceedings Volume 8318, 83180V (2012) https://doi.org/10.1117/12.913675

KEYWORDS: Reconstruction algorithms, Signal detection, Image restoration, Linear filtering, Computed tomography, Imaging systems, Image filtering, Evolutionary algorithms, Algorithm development, CT reconstruction

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Proceedings Article | 17 March 2011 Paper

Feasibility study of low-dose intra-operative cone-beam CT for image-guided surgery

Xiao Han, Shuanghe Shi, Junguo Bian, Patrick Helm, Emil Sidky, Xiaochuan Pan

Proceedings Volume 7961, 79615P (2011) https://doi.org/10.1117/12.878915

KEYWORDS: Computed tomography, Reconstruction algorithms, Image-guided intervention, Medical imaging, Physics, Current controlled current source, CT reconstruction, Data acquisition, Computer simulations

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Proceedings Article | 28 February 2011 Paper

Limited data image reconstruction in optoacoustic tomography by constrained total variation minimization

Kun Wang, Emil Sidky, Mark Anastasio, Alexander Oraevsky, Xiaochuan Pan

Proceedings Volume 7899, 78993U (2011) https://doi.org/10.1117/12.875664

KEYWORDS: Reconstruction algorithms, Transducers, Image restoration, Tomography, Algorithm development, Ultrasonics, Ultrasonography, Spherical lenses, 3D modeling, Biomedical optics

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Proceedings Article | 23 March 2010 Paper

A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT

Xiao Han, Junguo Bian, Diane Eaker, Emil Sidky, Erik Ritman, Xiaochuan Pan

Proceedings Volume 7622, 76222P (2010) https://doi.org/10.1117/12.845320

KEYWORDS: Image restoration, Reconstruction algorithms, Medical imaging, Imaging systems, Image processing, Physics, Current controlled current source, Visual analytics, Visualization, Quantitative analysis

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Proceedings Article | 13 March 2009 Paper

Boundary reconstruction in limited-angle x-ray phase-contrast tomography

Mark Anastasio, Emil Sidky, Xiaochuan Pan, Cheng-Ying Chou

Proceedings Volume 7258, 725827 (2009) https://doi.org/10.1117/12.811918

KEYWORDS: Reconstruction algorithms, X-rays, Tomography, X-ray imaging, Image restoration, Algorithm development, Data modeling, Tissues, 3D image processing, Refractive index

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Proceedings Article | 13 March 2009 Paper

Prior-image-based few-view cone beam CT for applications to daily scan in image-guided radiation therapy: preliminary study

Seungryong Cho, Erik Pearson, Emil Sidky, Junguo Bian, Charles Pelizzari, Xiaochuan Pan

Proceedings Volume 7258, 72581U (2009) https://doi.org/10.1117/12.811345

KEYWORDS: Reconstruction algorithms, Image restoration, Computed tomography, Radiotherapy, Image processing, Binary data, Algorithm development, Prostate, Safety, Motion detection

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Proceedings Article | 25 March 2008 Paper

Tomosynthesis with source positions distributed over a surface

Dan Xia, Seungryong Cho, Junguo Bian, Emil Sidky, Charles Pelizzari, Xiaochuan Pan

Proceedings Volume 6913, 69132A (2008) https://doi.org/10.1117/12.772687

KEYWORDS: Sensors, Medical imaging, Physics, Rutherfordium, X-ray sources, Image segmentation, Lead, Data acquisition, Yield improvement, Image quality

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Proceedings Article | 18 March 2008 Paper

A preliminary investigation of using prior information for potentially improving image reconstruction in few-view CT

Seungryong Cho, Emil Sidky, Junguo Bian, Charles Pelizzari, Xiaochuan Pan

Proceedings Volume 6913, 69132C (2008) https://doi.org/10.1117/12.772063

KEYWORDS: Reconstruction algorithms, Computed tomography, Expectation maximization algorithms, Image restoration, Algorithm development, Radiotherapy, CT reconstruction, Image quality, Detection and tracking algorithms, Image registration

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Proceedings Article | 18 March 2008 Paper

Chord-based image reconstruction from clinical projection data

Martin King, Dan Xia, Xiaochuan Pan, Michael Vannier, Thomas Köhler, Patrick La Riviére, Emil Sidky, Maryellen Giger

Proceedings Volume 6913, 69132G (2008) https://doi.org/10.1117/12.772884

KEYWORDS: Reconstruction algorithms, Computed tomography, CT reconstruction, Scanners, Sensors, Head, Image quality, Detection and tracking algorithms, Image restoration, Data acquisition

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Proceedings Article | 18 March 2008 Paper

Image reconstruction from sparse data samples in MRI accounting for phase roll

Samuel LaRoque, Emil Sidky, Gregory Karczmar, Xiaochuan Pan

Proceedings Volume 6913, 69130E (2008) https://doi.org/10.1117/12.769568

KEYWORDS: Magnetic resonance imaging, Image restoration, Reconstruction algorithms, Fourier transforms, Magnetism, Medical imaging, Algorithm development, Compressed sensing, Statistical analysis, Data acquisition

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Proceedings Article | 18 March 2008 Paper

Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization

Emil Sidky, Ingrid Reiser, Robert Nishikawa, Xiaochuan Pan, Rick Chartrand, Daniel Kopans, Richard Moore

Proceedings Volume 6913, 691328 (2008) https://doi.org/10.1117/12.772796

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Digital breast tomosynthesis, Breast, Image restoration, Algorithm development, Sensors, Medical imaging, Data modeling, Tissues

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Proceedings Article | 18 March 2008 Paper

A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm

Junguo Bian, Dan Xia, Lifeng Yu, Emil Sidky, Xiaochuan Pan

Proceedings Volume 6913, 69132I (2008) https://doi.org/10.1117/12.772096

KEYWORDS: Reconstruction algorithms, Detection and tracking algorithms, Data acquisition, Medical imaging, Sensors, Physics, Image restoration

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Proceedings Article | 6 March 2008 Paper

Accurate computation of the Hotelling template for SKE/BKE detection tasks

Emil Sidky, Samuel LaRoque, Xiaochuan Pan

Proceedings Volume 6917, 69170W (2008) https://doi.org/10.1117/12.772715

KEYWORDS: Signal to noise ratio, Reconstruction algorithms, Computing systems, Computed tomography, Algorithm development, CT reconstruction, Detection theory, Optimization (mathematics), Medical imaging, Signal detection

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Proceedings Article | 6 March 2008 Paper

Comparison of variable and fixed focal length cone beam CT in diagnostic imaging

Samuel LaRoque, Junguo Bian, Emil Sidky, Xiaochuan Pan

Proceedings Volume 6917, 69170V (2008) https://doi.org/10.1117/12.769559

KEYWORDS: Sensors, Head, Diagnostics, X-ray computed tomography, Computed tomography, Spherical lenses, X-ray sources, X-rays, Reconstruction algorithms, Medical imaging

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We use a task-based study to objectively evaluate the effect of variable versus fixed focal length in determining the position of a lesion in helical cone-beam computed tomography (HCBCT). This method will be used to assess whether variable focal length CBCT scans provide a measurable improvement in estimating lesion position relative to fixed focal length CBCT in diagnostic applications. In this simulation study a 1 cm diameter spherical lesion is placed at four different positions within a three-dimensional Shepp-Logan head phantom. The axial plane is taken to point along the z-axis, which is also the central axis of the helix. The lesion is placed at the center of the Shepp-Logan phantom, at positions displaced ±5 cm in x, and at a position displaced 5 cm in y. Four different scans of pitch length 10 cm are then performed using 128 views over 360° with a 100×300 pixel (20 cm×60 cm) detector. Two scans have a fixed focal length of 50 cm between the X-ray source and the center of rotation (COR), varying only in the starting angle of the source (0° and 90°). We call this the circular configuration. The other two scans have a variable focal length following the curvature of the head phantom and ranging from 37.5 cm to 50 cm. We call this the elliptical configuration. The detector rotates with the source but maintains a constant distance of 30 cm from the COR. A likelihood gridding technique is used to assess bias and variance in the position estimates determined from each scan configuration. We find that the biases are small relative to the variances, and have no apparent preferred direction. Of the 24 circular to elliptical comparisons made, we find that in 14 cases the elliptical scan has a smaller variance that is statistically significant(p ≤ 0.05). By contrast, we find no statistically significant cases in which the circular scan gives a smaller variance compared to the elliptical scan. We conclude that using a variable focal length adapted to the contours of the head phantom provides more precise results, but caution that this is a limited pilot study and many more factors will be accounted for in future work.

Proceedings Article | 20 March 2007 Paper

Evaluation of the channelized Hotelling observer for signal detection in 2D tomographic imaging

Samuel LaRoque, Emil Sidky, Darrin Edwards, Xiaochuan Pan

Proceedings Volume 6515, 651514 (2007) https://doi.org/10.1117/12.710112

KEYWORDS: Signal to noise ratio, Reconstruction algorithms, Image restoration, Signal detection, Tomography, CT reconstruction, Detection and tracking algorithms, Data modeling, Systems modeling, Computed tomography

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Proceedings Article | 16 March 2007 Paper

Image reconstruction from sparse data samples along spiral trajectories in MRI

Samuel LaRoque, Emil Sidky, Xiaochuan Pan

Proceedings Volume 6510, 651054 (2007) https://doi.org/10.1117/12.710240

KEYWORDS: Magnetic resonance imaging, Image restoration, Reconstruction algorithms, Fourier transforms, Statistical analysis, Cardiac imaging, Medical imaging, Image analysis, Imaging systems, Data modeling

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Proceedings Article | 14 March 2007 Paper

Dual-energy cone-beam micro-CT for animal imaging: preliminary study

Seungryong Cho, Emil Sidky, Junguo Bian, Xiaochuan Pan

Proceedings Volume 6510, 65103M (2007) https://doi.org/10.1117/12.713243

KEYWORDS: X-rays, Tissues, Bone, Image processing, X-ray imaging, Data conversion, Signal attenuation, Image restoration, X-ray computed tomography, Imaging systems

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Proceedings Article | 14 March 2007 Paper

Development of a model for breast tomosynthesis image acquisition

I. Reiser, R. Nishikawa, E. Sidky, M. Chinander, P. Seifi

Proceedings Volume 6510, 65103D (2007) https://doi.org/10.1117/12.713752

KEYWORDS: X-rays, Data modeling, X-ray detectors, Sensors, Data acquisition, Image acquisition, Prototyping, Breast, X-ray imaging, Computer simulations

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Proceedings Article | 13 March 2007 Paper

Image reconstruction in digital breast tomosynthesis by total variation minimization

Emil Sidky, Ingrid Reiser, Robert Nishikawa, Xiaochuan Pan

Proceedings Volume 6510, 651027 (2007) https://doi.org/10.1117/12.713663

KEYWORDS: Digital breast tomosynthesis, Image restoration, Reconstruction algorithms, Sensors, CT reconstruction, Data modeling, Optical spheres, Detection and tracking algorithms, X-rays, Computer simulations

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Proceedings Article | 6 March 2007 Paper

Accurate image reconstruction from sparse data in diffraction tomography using a total variation minimization algorithm

Samuel LaRoque, Emil Sidky, Xiaochuan Pan

Proceedings Volume 6513, 651302 (2007) https://doi.org/10.1117/12.710195

KEYWORDS: Reconstruction algorithms, Image restoration, Diffraction, Tomography, Fourier transforms, Inverse scattering, Data modeling, Algorithm development, Solids, Image filtering

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Proceedings Article | 13 March 2006 Paper

Precise imaging of small animals using a dual-head microPET scanner

Chien-Min Kao, Emil Sidky, Yun Dong, Xiaochuan Pan

Proceedings Volume 6143, 614303 (2006) https://doi.org/10.1117/12.654528

KEYWORDS: Scanners, Sensors, Imaging systems, Positron emission tomography, Reconstruction algorithms, Image restoration, Expectation maximization algorithms, Prototyping, Preclinical imaging, Solids

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Proceedings Article | 2 March 2006 Paper

Accurate image reconstruction in CT from projection data taken at few-views

Emil Sidky, Chien-Min Kao, Xiaochuan Pan

Proceedings Volume 6142, 614229 (2006) https://doi.org/10.1117/12.654299

KEYWORDS: Image restoration, Reconstruction algorithms, Fourier transforms, Computed tomography, Algorithms, Medical imaging, Algorithm development, Tomography, Data acquisition, Image analysis

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Proceedings Article | 2 March 2006 Paper

Cone-beam local tomography image reconstruction on chords

Mark Anastasio, E. Sidky, Y. Zou, X. Pan

Proceedings Volume 6142, 614226 (2006) https://doi.org/10.1117/12.651736

KEYWORDS: Reconstruction algorithms, Tomography, Image restoration, Image segmentation, Algorithm development, Sensors, Detection and tracking algorithms, CT reconstruction, X-ray computed tomography, 3D modeling

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Proceedings Article | 29 April 2005 Paper

A consistency condition for cone-beam CT with general source trajectories

Emil Sidky, Yu Zou, Dan Xia, Xiaochuan Pan

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.596123

KEYWORDS: Reconstruction algorithms, Image restoration, Computed tomography, Sensors, Algorithm development, Heart, Radiology, CT reconstruction, Visualization, Medical imaging

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Proceedings Article | 29 April 2005 Paper

Exact image reconstruction from n-PI acquisition data in helical cone-beam CT

Yu Zou, Xiaochuan Pan, Emil Sidky

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.596128

KEYWORDS: Reconstruction algorithms, Image restoration, Data acquisition, Computed tomography, Sensors, Detection and tracking algorithms, Algorithm development, Data modeling, Tomography, X-rays

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Proceedings Article | 12 May 2004 Paper

A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast

Ingrid Reiser, Emil Sidky, Maryellen Giger, Robert Nishikawa, Elizabeth Rafferty, Daniel Kopans, Richard Moore, Tao Wu

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535901

KEYWORDS: Breast, Reconstruction algorithms, Detection and tracking algorithms, 3D image processing, Expectation maximization algorithms, Mammography, Computer simulations, Image filtering, Tissues, Tumors

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Proceedings Article | 6 May 2004 Paper

Application of expectation maximization to x-ray spectrum estimation for medical accelerators from transmission data

Emil Sidky, Lifeng Yu, Xiaochuan Pan

Proceedings Volume 5368, (2004) https://doi.org/10.1117/12.535989

KEYWORDS: X-rays, Signal attenuation, Data modeling, Expectation maximization algorithms, Mathematical modeling, X-ray sources, Tungsten, Aluminum, Lead, Reconstruction algorithms

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Proceedings Article | 6 May 2004 Paper

Effect of noise in dual-energy helical cone-beam computed tomography

Emil Sidky, Yu Zou, Xiaochuan Pan

Proceedings Volume 5368, (2004) https://doi.org/10.1117/12.535963

KEYWORDS: Brain, Bone, X-rays, Sensors, Signal attenuation, Tissues, Dual energy imaging, Data modeling, Neuroimaging, Brain mapping

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SPIE Journal Paper | 1 September 2003

Image reconstruction with a half-detector in single-photon emission computed tomography with nonuniform attenuation

Emil Sidky, Xiaochuan Pan

OE, Vol. 42, Issue 09, (September 2003) https://doi.org/10.1117/12.10.1117/1.1592518

KEYWORDS: Signal attenuation, Single photon emission computed tomography, Radon transform, Image restoration, Sensors, Computed tomography, Reconstruction algorithms, Differential equations, Data centers, Solids

Proceedings Article | 23 May 2003 Paper

Image reconstruction from reduced-scan data in ultrasonic reflectivity tomography

Xiaochuan Pan, Yu Zou, Mark Anastasio, Emil Sidky

Proceedings Volume 5035, (2003) https://doi.org/10.1117/12.479960

KEYWORDS: Reflectivity, Tomography, Expectation maximization algorithms, Reconstruction algorithms, Ultrasonics, Data acquisition, Radon transform, Image restoration, Algorithm development, Wavefronts

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Proceedings Article | 15 May 2003 Paper

Generalized quasi-exact algorithms for image reconstruction in helical cone-beam CT

Yu Zou, Emil Sidky, Xiaochuan Pan

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481407

KEYWORDS: Reconstruction algorithms, Data acquisition, Algorithm development, Detection and tracking algorithms, Sensors, 3D image reconstruction, Computed tomography, 3D image processing, Fourier transforms, CT reconstruction

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Proceedings Article | 9 May 2002 Paper

Noise properties of the inverse pi-scheme exponential radon transform

Emil Sidky, Chien-Min Kao, Patrick La Riviere, Xiaochuan Pan

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467225

KEYWORDS: Single photon emission computed tomography, Signal attenuation, Radon transform, Data acquisition, Sensors, Convolution, Image segmentation, Computed tomography, Image restoration, CT reconstruction

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Proceedings Article | 9 May 2002 Paper

Image reconstruction in SPECT with a half detector

Xiaochuan Pan, Emil Sidky, Yu Zou

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467223

KEYWORDS: Sensors, Signal attenuation, Single photon emission computed tomography, Image restoration, Computed tomography, Gamma radiation, Reconstruction algorithms, Expectation maximization algorithms, Detector arrays, Facial recognition systems

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