応用数理
Online ISSN : 2432-1982
スパースモデリングと医用MRI(<特集>スパースモデリング: 情報処理の新しい流れ)
藤本 晃司田中 利幸
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ジャーナル フリー

2015 年 25 巻 1 号 p. 10-14

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Magnetic resonance imaging (MRI) is essential in modern medicine and has been used to visualize a variety of biological phenomena noninvasively. Recent advances in data processing have enabled accelerated undersampling of the MRI data by taking advantages of compressed sensing, which utilizes sparsity of the object. Within a few years, a variety of techniques have been introduced to deal with fast and accurate recovery of the MR images. Sparsity and low-rankedness are sought and exploited not only in the image domain but also in the frequency domain.

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© 2015 一般社団法人 日本応用数理学会
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