A new Mumford–Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction

Author:

Chen BoORCID,Bian Zhaoying,Zhou Xiaohui,Chen Wensheng,Ma Jianhua,Liang Zhengrong

Funder

Guangdong Provincial Key Laboratory of Medical Image Processing

NSF

Natural Science Foundation of Guangdong Province

Central Finance for the Development of Local Universities

Science and Technology Planning Project of Shenzhen City

China Scholarship Council

NIH

Guangdong Engineering Technology Research Centre

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference29 articles.

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2. Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography;Einstein;J. Am. Med. Assoc.,2007

3. A novel method for 4D cone-beam computer-tomography reconstruction;Zhang;SPIE Med. Imaging,2015

4. Image reconstruction for sparse-view CT and interior CT—introduction to compressed sensing and differentiated backprojection;Kudo;Quant. Imaging Med. Surg.,2013

5. Strategies for CT radiation dose optimization;Kalra;Radiology,2004

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