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Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm
Author(s): Jingwei Lu; Shuangyue Zhang; David G. Politte; Joseph A. O'Sullivan
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Paper 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.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721Q (28 May 2019); doi: 10.1117/12.2534897
Show Author Affiliations
Jingwei Lu, Washington Univ. in St. Louis (United States)
Shuangyue Zhang, Washington Univ. in St. Louis (United States)
David G. Politte, Washington Univ. School of Medicine (United States)
Joseph A. O'Sullivan, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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