Material Decomposition of Energy Spectral CT by AUTOMAP

被引：0
|
作者：
Chen, Zhengyang [1 ,2 ]
Li, Liang [1 ,2 ]
机构：
[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Minist Educ, Key Lab Particle & Radiat Imaging, Beijing 100084, Peoples R China
来源：
2018 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE PROCEEDINGS (NSS/MIC) | 2018年
关键词：
RECONSTRUCTION;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Energy spectrum CT can perform spectral imaging of objects. In the clinical and industrial fields, spectral images are often converted into a distribution image of the base material, ie, material decomposition. Traditional image domain material decomposition algorithms are often parsed point by point. This time we try to use the end-to-end AUTOMAP for fitting solution. AUTOMAP can perform image domain mapping and achieve certain effects on MRI image reconstruction, but our attempts at spectral CT material decomposition are not satisfactory.
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页数：3
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