Dynamic material decomposition method for MeV dual-energy X-ray CT

Tiao Zhao; Liang Li; Zhiqiang Chen

doi:10.1016/j.apradiso.2018.06.009

Dynamic material decomposition method for MeV dual-energy X-ray CT

Appl Radiat Isot. 2018 Oct:140:55-62. doi: 10.1016/j.apradiso.2018.06.009. Epub 2018 Jun 15.

Authors

Tiao Zhao¹, Liang Li², Zhiqiang Chen³

Affiliations

¹ Department of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China; Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, People's Republic of China.
² Department of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China; Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, People's Republic of China. Electronic address: lliang@tsinghua.edu.cn.
³ Department of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China; Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, People's Republic of China. Electronic address: czq@tsinghua.edu.cn.

PMID: 29940527
DOI: 10.1016/j.apradiso.2018.06.009

Abstract

A decomposition model with an iterative solving framework is proposed for use in MeV dual energy computed tomography (DECT). The decomposition model can deal with a broad range of materials and better matches the physics of MeV photons. The proposed iterative solving framework is based on the conventional projection-domain decomposition method, and verified by numerical experiments and experiments. It is shown that images reconstructed with the proposed method have less artifacts and provide more accurate estimates of the atomic number of materials than the conventional projection-domain decomposition method.

Keywords: CT; Dual energy; Material decomposition; MeV; Tomography.