Proximity operator and its application in rapid MR image reconstruction

Ben Xing Li; Bao Xiang Cao; Jian Hua Ma

Proximity operator and its application in rapid MR image reconstruction

Ben Xing Li
, Bao Xiang Cao
, Jian Hua Ma

Qufu Normal University
Southern Medical University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Proximity operator is used to solve the rapid magnetic resonance image reconstruction model based on compressed sensing theory and an efficient iterative algorithm is proposed. Experiments show that the proposed algorithm is not sensitive to noises, and that the algorithm does not depend on the choice of initial iterative values, and that faithful MR images can be reconstructed efficiently through the algorithm.

源语言	英语
页（从-至）	2827-2831
页数	5
期刊	Tien Tzu Hsueh Pao/Acta Electronica Sinica
卷	38
期	12
出版状态	已出版 - 12月 2010
已对外发布	是

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title = "Proximity operator and its application in rapid MR image reconstruction",

abstract = "Proximity operator is used to solve the rapid magnetic resonance image reconstruction model based on compressed sensing theory and an efficient iterative algorithm is proposed. Experiments show that the proposed algorithm is not sensitive to noises, and that the algorithm does not depend on the choice of initial iterative values, and that faithful MR images can be reconstructed efficiently through the algorithm.",

keywords = "Compressed sensing, Image, Magnetic resonance imaging, Proximity operator, Reconstruction",

author = "Li, \{Ben Xing\} and Cao, \{Bao Xiang\} and Ma, \{Jian Hua\}",

year = "2010",

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language = "英语",

volume = "38",

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journal = "Tien Tzu Hsueh Pao/Acta Electronica Sinica",

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T1 - Proximity operator and its application in rapid MR image reconstruction

AU - Li, Ben Xing

AU - Cao, Bao Xiang

AU - Ma, Jian Hua

PY - 2010/12

Y1 - 2010/12

N2 - Proximity operator is used to solve the rapid magnetic resonance image reconstruction model based on compressed sensing theory and an efficient iterative algorithm is proposed. Experiments show that the proposed algorithm is not sensitive to noises, and that the algorithm does not depend on the choice of initial iterative values, and that faithful MR images can be reconstructed efficiently through the algorithm.

AB - Proximity operator is used to solve the rapid magnetic resonance image reconstruction model based on compressed sensing theory and an efficient iterative algorithm is proposed. Experiments show that the proposed algorithm is not sensitive to noises, and that the algorithm does not depend on the choice of initial iterative values, and that faithful MR images can be reconstructed efficiently through the algorithm.

KW - Compressed sensing

KW - Image

KW - Magnetic resonance imaging

KW - Proximity operator

KW - Reconstruction

UR - https://www.scopus.com/pages/publications/79952459391

M3 - 文章

AN - SCOPUS:79952459391

SN - 0372-2112

VL - 38

SP - 2827

EP - 2831

JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

IS - 12

ER -

Proximity operator and its application in rapid MR image reconstruction

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