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
收藏
页数：5
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