Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm

Jingwei Lu; Shuangyue Zhang; David G. Politte; Joseph A. O'Sullivan

doi:10.1117/12.2534897

28 May 2019 Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm

Jingwei Lu, Shuangyue Zhang, David G. Politte, Joseph A. O'Sullivan

Author Affiliations +

Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110721Q (2019) https://doi.org/10.1117/12.2534897
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

Abstract

Photon counting CT (PCCT) is an x-ray imaging technique that has undergone great development in the past decade. PCCT has the potential to improve dose efficiency and low-dose performance. In this paper, we propose a statistics-based iterative algorithm to perform a direct reconstruction of material-decomposed images. Compared with the conventional sinogram-based decomposition method which has degraded performance in low- dose scenarios, the multi-energy alternating minimization algorithm for photon counting CT (MEAM-PCCT) can generate accurate material-decomposed image with much smaller biases.

Citation Download Citation

Jingwei Lu, Shuangyue Zhang, David G. Politte, and Joseph A. O'Sullivan "Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721Q (28 May 2019); https://doi.org/10.1117/12.2534897

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