Statistical image-based material decomposition for triple-energy computed tomography using total variation regularization-Reference-Cited by-同舟云学术

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Statistical image-based material decomposition for triple-energy computed tomography using total variation regularization

Published:2020-08-01 Issue:4 Volume:28 Page:751-771
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Niu Shanzhou¹²,Lu Shaohui¹,Zhang You²,Huang Xiaokun²,Zhong Yuncheng²,Yu Gaohang³,Wang Jing²

Affiliation:

1. Jiangxi Key Laboratory of Numerical Simulation Technology, School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China

2. Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA

3. School of Science, Hangzhou Dianzi University, Hangzhou, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Reference56 articles.

1. Total image constrained diffusion tensor for spectral computed tomography reconstruction;Niu;Applied Mathematical Modelling,2019

2. Photon counting spectral CT versus conventional CT: comparative evaluation for breast imaging application;Shikhaliev;Phys Med Biol,2011

3. Photon-counting CT: technical principles and clinical prospects;Willemink;Radiology,2018

4. Spatial-spectral cube matching frame for spectral CT reconstruction;Wu;Inverse Problems,2018

5. Low-dose spectral CT reconstruction using image gradient ℓ0–norm and tensor dictionary;Wu;Applied Mathematical Modelling,2018

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