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Proceedings Paper

Initial experience in primal-dual optimization reconstruction from sparse-PET patient data
Author(s): Zheng Zhang; Jinghan Ye; Buxin Chen; Amy E. Perkins; Sean Rose; Emil Y. Sidky; Chien-Min Kao; Dan Xia; Chi-Hua Tung; Xiaochuan Pan
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Paper Abstract

There exists interest in designing a PET system with reduced detectors due to cost concerns, while not significantly compromising the PET utility. Recently developed optimization-based algorithms, which have demonstrated the potential clinical utility in image reconstruction from sparse CT data, may be used for enabling such design of innovative PET systems. In this work, we investigate a PET configuration with reduced number of detectors, and carry out preliminary studies from patient data collected by use of such sparse-PET configuration. We consider an optimization problem combining Kullback-Leibler (KL) data fidelity with an image TV constraint, and solve it by using a primal-dual optimization algorithm developed by Chambolle and Pock. Results show that advanced algorithms may enable the design of innovative PET configurations with reduced number of detectors, while yielding potential practical PET utilities.

Paper Details

Date Published: 25 March 2016
PDF: 5 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97831K (25 March 2016); doi: 10.1117/12.2216627
Show Author Affiliations
Zheng Zhang, The Univ. of Chicago Medical Ctr. (United States)
Jinghan Ye, Philips Healthcare (United States)
Buxin Chen, The Univ. of Chicago Medical Ctr. (United States)
Amy E. Perkins, Philips Healthcare (United States)
Sean Rose, The Univ. of Chicago Medical Ctr. (United States)
Emil Y. Sidky, The Univ. of Chicago Medical Ctr. (United States)
Chien-Min Kao, The Univ. of Chicago Medical Ctr. (United States)
Dan Xia, The Univ. of Chicago Medical Ctr. (United States)
Chi-Hua Tung, Philips Healthcare (United States)
Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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