Efficient resolution enhancement algorithm for compressive sensing magnetic resonance image reconstruction

Osama A. Omer, M. Atef Bassiouny, Ken’ichi Morooka

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Magnetic resonance imaging (MRI) has been widely applied in a number of clinical and preclinical applications. However, the resolution of the reconstructed images using conventional algorithms are often insufficient to distinguish diagnostically crucial information due to limited measurements. In this paper, we consider the problem of reconstructing a high resolution (HR) MRI signal from very limited measurements. The proposed algorithm is based on compressed sensing, which combines wavelet sparsity with the sparsity of image gradients, where the magnetic resonance (MR) images are generally sparse in wavelet and gradient domain. The main goal of the proposed algorithm is to reconstruct the HR MR image directly from a few measurements. Unlike the compressed sensing (CS) MRI reconstruction algorithms, the proposed algorithm uses multi measurements to reconstruct HR image. Also, unlike the resolution enhancement algorithms, the proposed algorithm perform resolution enhancement of MR image simultaneously with the reconstruction process from few measurements. The proposed algorithm is compared with three state-of-the-art CS-MRI reconstruction algorithms in sense of signal-tonoise ratio and full-with-half-maximum values.

本文言語英語
ホスト出版物のタイトルImage Analysis and Processing – ICIAP 2015 - 18th International Conference, Proceedings
編集者Vittorio Murino, Enrico Puppo, Vittorio Murino
出版社Springer Verlag
ページ519-527
ページ数9
ISBN(印刷版)9783319232300
DOI
出版ステータス出版済み - 2015
イベント18th International Conference on Image Analysis and Processing, ICIAP 2015 - Genoa, イタリア
継続期間: 9 7 20159 11 2015

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9279
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他18th International Conference on Image Analysis and Processing, ICIAP 2015
国/地域イタリア
CityGenoa
Period9/7/159/11/15

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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