Dr. Jae Choi Profile

Dr. Jae Choi

at Georgetown Univ Medical Ctr

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 2 March 2011 Paper

Efficient ray casting with LF-Minmax map in CUDA

Jae Choi

Proceedings Volume 7964, 79643B (2011) https://doi.org/10.1117/12.877837

KEYWORDS: Volume rendering, Computed tomography, Algorithm development, Transparency, Computer architecture, Tin, Magnetic resonance imaging, Visualization, Medical imaging, Image registration

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Proceedings Article | 13 March 2009 Paper

Spinal cord stress injury assessment (SCOSIA): clinical applications of mechanical modeling of the spinal cord and brainstem

Kenneth Wong, Jae Choi, William Wilson, Joel Berry, Fraser Henderson

Proceedings Volume 7261, 726106 (2009) https://doi.org/10.1117/12.813791

KEYWORDS: Spinal cord, Injuries, Finite element methods, Surgery, Spine, X-rays, Neck, Analytical research, Imaging systems, Statistical analysis

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Proceedings Article | 13 March 2009 Paper

Transbronchial needle aspiration with a new electromagnetically-tracked TBNA needle

Jae Choi, Teo Popa, Lucian Gruionu

Proceedings Volume 7261, 72612Q (2009) https://doi.org/10.1117/12.810934

KEYWORDS: Biopsy, Electromagnetism, Computed tomography, Sensors, Image segmentation, Tissues, Lung cancer, Bronchoscopy, Image registration, Diagnostics

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Proceedings Article | 22 March 2007 Paper

High dynamic range (HDR) virtual bronchoscopy rendering for video tracking

Teo Popa, Jae Choi

Proceedings Volume 6509, 65091J (2007) https://doi.org/10.1117/12.712336

KEYWORDS: High dynamic range imaging, Video, Cameras, Bronchoscopy, Light sources and illumination, Camera shutters, Video acceleration, Image registration, 3D image processing, 3D modeling

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Proceedings Article | 10 March 2006 Paper

High quality GPU rendering with displaced pixel shading

Hui Zhang, Jae Choi

Proceedings Volume 6141, 61412U (2006) https://doi.org/10.1117/12.652307

KEYWORDS: Volume rendering, Image quality, DirectX, Detection and tracking algorithms, Visualization, Composites, RGB color model, Volume visualization, Sensors, 3D image processing

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Proceedings Article | 5 May 2000 Paper

I-SPINE: a software package for advances in image-guided and minimally invasive spine procedures

Jae Jeong Choi, Kevin Cleary, Jianchao Zeng, Kevin Gary, Matthew Freedman, Vance Watson, David Lindisch, Seong Mun

Proceedings Volume 3905, (2000) https://doi.org/10.1117/12.384879

KEYWORDS: Visualization, Spine, Image visualization, Volume rendering, Computed tomography, 3D visualizations, Cements, Image segmentation, Bone, Medical imaging

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Proceedings Article | 18 April 2000 Paper

Three-dimensional visualization system as an aid for lung cancer detection

Andrzej Delegacz, Shih-Chung Lo, Huchen Xie, Matthew Freedman, Jae Jeong Choi

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383066

KEYWORDS: Lung, Image segmentation, Visualization, Computed tomography, 3D image processing, Volume rendering, Lung cancer, Image filtering, 3D visualizations, Opacity

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The purpose of this work was to create a 3D visualization system to aid physicians in observing abnormalities of the human lungs. A series of 20-30 helical CT lung slice images obtained from the lung cancer screening protocol as well as a series of 100-150 diagnostic helical CT lung slice images were used as an input. We designed a segmentation filter to enhance the lung boundaries and filter out small and medium bronchi from the original images. The pairs of original and filtered images were further processed with the contour extraction method to segment out only the lung field for further study. In the next step the segmented lung images containing the small bronchi and lung textures were used to generate the volumetric dataset input for the 3D visualization system. Additional processing for the extracted contour was used to smooth the 3D lung contour in the lung boundaries. The computer program developed allows, among others, viewing of the 3D lung object from various angles, zooming in and out as well as selecting the regions of interest for further viewing. The density and gradient opacity tables are defined and used to manipulate the displayed contents of 3D rendered images. Thus, an effective 'see-through' technique is applied to the 3D lung object for better visual access to the internal lung structures like bronchi and possible cancer masses. These and other features of the resulting 3D lung visualization system give the user a powerful tool to observe and investigate the patient's lungs. The filter designed for this study is a completely new solution that greatly facilitates the boundary detection. The developed 3D visualization system dedicated from chest CT provides the user a new way to explore effective diagnosis of potential lung abnormalities and cancer. In the authors' opinion, the developed system can be successfully used to view and analyze patient's lung CT images in a new powerful approach in both diagnosis and surgery-planning applications. Additionally, we see the possibility of using the system for teaching anatomy as well as pathology of the human lung.

Showing 5 of 7 publications

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