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Compressed sensing based cone-beam computed tomography reconstruction with a first-order method

Purpose: This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements. Methods: The authors cast the reconstruction as a compressed sensing problem based on ℓ(1) norm minimization constrained...

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Main Authors: Choi, Kihwan, Wang, Jing, Zhu, Lei, Suh, Tae-Suk, Boyd, Stephen, Xing, Lei
格式: Artigo
語言:Inglês
出版: American Association of Physicists in Medicine 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2945747/
https://ncbi.nlm.nih.gov/pubmed/20964231
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3481510
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