Iterative reconstruction algorithms with α-divergence for PET imaging

Author:

Teng Yueyang,Zhang Tie

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference14 articles.

1. Maximum likelihood reconstruction for emission tomography;Shepp;IEEE Transactions on Medical Imaging,1982

2. Penalized weighted least-squares image reconstruction for positron emission tomography;Fessler;IEEE Transaction on Medical Imaging,1994

3. Weighted least-squares reconstruction algorithms for positron emission tomography;Anderson;IEEE Transaction on Medical Imaging,1997

4. A novel weighted least squares pet image reconstruction method using adaptive variable index sets;Zhu;Digital Signal Processing,2006

5. Development of iterative algorithms for image reconstruction;Ming;Journal of X-ray Science and Technology,2002

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Iterative reconstruction for sparse-view X-ray CT using alpha-divergence constrained total generalized variation minimization;Journal of X-Ray Science and Technology;2017-08-30

2. Iterative Non-negative Deconvolution Algorithms with Alpha-Divergence;2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics;2015-08

3. Generalized EM-Type Reconstruction Algorithms for Emission Tomography;IEEE Transactions on Medical Imaging;2012-09

4. Three penalized EM-type algorithms for PET image reconstruction;Computers in Biology and Medicine;2012-06

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