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

被引：3

作者：

Lu, Jingwei ^{[1
]}

Zhang, Shuangyue ^{[1
]}

Politte, David G. ^{[2
]}

O'Sullivan, Joseph A. ^{[1
]}

机构：

[1] Washington Univ, Dept Elect & Syst Engn, 1 Brookings Dr, St Louis, MO 63130 USA

[2] Washington Univ, Sch Med, Elect Radiol Lab, Mallinckrodt Inst Radiol, St Louis, MO 63110 USA

来源：

15TH INTERNATIONAL MEETING ON FULLY THREE-DIMENSIONAL IMAGE RECONSTRUCTION IN RADIOLOGY AND NUCLEAR MEDICINE | 2019年 / 11072卷

关键词：

photon counting; low-dose radiation; iterative algorithm; spectral x-ray CT; alternating minimization;

D O I：

10.1117/12.2534897

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页数：5

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