Bayesian reconstruction for digital breast tomosynthesis using a non-local Gaussian Markov random field a priori model-Reference-Cited by-同舟云学术

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Bayesian reconstruction for digital breast tomosynthesis using a non-local Gaussian Markov random field a priori model

Published:2019-03-01 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2019: Physics of Medical Imaging
language:
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Author:

Salvadeo Denis,Vimieiro Rodrigo B.,Vieira Marcelo A. C.,Maidment Andrew D. A.

Publisher

SPIE

Reference18 articles.

1. Digital tomosynthesis in breast imaging.

2. Principles of Computerized Tomographic Imaging;Kak,1988

3. Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device;Mertelmeier,2006

4. Theoretical framework for filtered back projection in tomosynthesis;Lauritsch,1998

5. Globally convergent algorithms for maximum a posteriori transmission tomography

Cited by 1 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. Image reconstruction from projections of digital breast tomosynthesis using deep learning;Medical Imaging 2021: Physics of Medical Imaging;2021-02-15

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