CT guided diffuse optical tomography for breast cancer imaging

Reheman Baikejiang; Wei Zhang; Dianwen Zhu; Changqing Li

doi:10.1117/12.2216402

29 March 2016 CT guided diffuse optical tomography for breast cancer imaging

Reheman Baikejiang, Wei Zhang, Dianwen Zhu, Changqing Li

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97882K (2016) https://doi.org/10.1117/12.2216402
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Diffuse optical tomography (DOT) has attracted attentions in the last two decades due to its intrinsic sensitivity in imaging chromophores of tissues such as blood, water, and lipid. However, DOT has not been clinically accepted yet due to its low spatial resolution caused by strong optical scattering in tissues. Structural guidance provided by an anatomical imaging modality enhances the DOT imaging substantially. Here, we propose a computed tomography (CT) guided multispectral DOT imaging system for breast cancer detection. To validate its feasibility, we have built a prototype DOT imaging system which consists of a laser at wavelengths of 650 and an electron multiplying charge coupled device (EMCCD) camera. We have validated the CT guided DOT reconstruction algorithms with numerical simulations and phantom experiments, in which different imaging setup parameters, such as projection number of measurements, the width of measurement patch, have been investigated. Our results indicate that an EMCCD camera with air cooling is good enough for the transmission mode DOT imaging. We have also found that measurements at six projections are sufficient for DOT to reconstruct the optical targets with 4 times absorption contrast when the CT guidance is applied. Finally, we report our effort and progress on the integration of the multispectral DOT imaging system into a breast CT scanner.

Citation Download Citation

Reheman Baikejiang, Wei Zhang, Dianwen Zhu, and Changqing Li "CT guided diffuse optical tomography for breast cancer imaging", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97882K (29 March 2016); https://doi.org/10.1117/12.2216402

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