MR圧縮センシングにおける画像再構成アルゴリズムの検討

松本 知之; 伊藤 聡志

doi:10.11485/itewac.2017.0_14B-4

PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION

Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357

2017 ITE Winter Annual Convention

Session ID : 14B-4

DOI https://doi.org/10.11485/itewac.2017.0_14B-4

Conference information

Host: 2017 ITE Winter Annual Convention

Name : 2017 ITE Winter Annual Convention

Date : December 12, 2017 - December 13, 2017

Study on Image Reconstruction Algorithm in MR Compressed Sensing

*Tomoyuki MATSUMOTO, Satoshi ITO

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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Compressed sensing MRI can reduce the data acquisition time. ADMM is becoming popular algorithm for solving the L1-L2 minimization problem. we applied the multi-scale eFREBAS transform based CS to ADMM for 3D image reconstruction. Experiment showed that ADMM can provide higher signal-to-noise ratio than other algorithms.

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