Bayesian parallel Imaging with edge-preserving priors

Autor: Raj, Ashish, Singh, Gurmeet, Zabih, R, Kressler, B, Wang, Y, Schuff, N, Weiner, M

Publikováno v: Raj, Ashish; Singh, Gurmeet; Zabih, R; Kressler, B; Wang, Y; Schuff, N; et al.(2007). Bayesian parallel Imaging with edge-preserving priors. Magnetic Resonance in Medicine, 57(1), 8-21. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/3r96p2v2

Existing parallel MRI methods are limited by a fundamental trade-off in that suppressing noise introduces aliasing artifacts. Bayesian methods with an appropriately chosen image prior offer a promising alternative; however, previous methods with spat

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http://www.escholarship.org/uc/item/3r96p2v2

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Publikováno v: In Journal of Vascular and Interventional Radiology March 2016 27(3) Supplement:S90-S90

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Graph Cuts Segmentation with Statistical Shape Priors for Medical Images.

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Improved Signal-to-Noise Ratio in Parallel Coronary Artery Magnetic Resonance Angiography using Graph Cuts based Bayesian Reconstruction.

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