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15 February 2021 Accurate reconstruction of cross-section images from limited-angular-range data in human-limb imaging
Zheng Zhang, Buxin Chen, Dan Xia, Emil Y. Sidky, Xiaochuan Pan
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Proceedings Volume 11595, Medical Imaging 2021: Physics of Medical Imaging; 115952E (2021) https://doi.org/10.1117/12.2581985
Event: SPIE Medical Imaging, 2021, Online Only
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Abstract
In this work, we investigate and develop a method for cross-section image reconstruction from data collected over limited-angular ranges in the context of human-limb imaging. We first design a convex optimization program with constraints on directional image total-variations (TVs), and then tailor a convex primal-dual algorithm, which is referred to as the directional TV (DTV) algorithm, for solving this program. By using the proposed DTV algorithm, we investigate image reconstructions in studies with data collected from numerical thigh phantoms over a limited-angular range of 60◦. The results of the numerical studies demonstrate that the method proposed can yield, from limited-angular-range data, cross-section images with significantly reduced artifacts that are observed otherwise in images obtained with existing algorithms.
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Zheng Zhang, Buxin Chen, Dan Xia, Emil Y. Sidky, and Xiaochuan Pan "Accurate reconstruction of cross-section images from limited-angular-range data in human-limb imaging", Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 115952E (15 February 2021); https://doi.org/10.1117/12.2581985
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KEYWORDS
Image restoration
Convex optimization
Reconstruction algorithms
Televisions
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