Noise effects in various quantitative susceptibility mapping methods

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 12, 2013, Pages 3441-3448

  Wang, Shuai ^a   Liu, Tian ^c   Chen, Weiwei ^b   Spincemaille, Pascal ^c   Wisnieff, Cynthia ^c,d   Tsiouris, A John ^c   Zhu, Wenzhen ^b   Pan, Chu ^b   Zhao, Lingyun ^b   Wang, Yi ^c,d,e  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c WEILL CORNELL MEDICAL COLLEGE   (United States)

^d Cornell University   (United States)

^e Kyung Hee University   (South Korea)

Author keywords

Bayesian; noise weighting; quantitative susceptibility mapping (QSM); structure prior

Indexed keywords

BAYESIAN; NOISE AMPLIFICATION; NOISE WEIGHTING; PHYSICAL STRUCTURES; RECONSTRUCTION ERROR; REGULARIZATION METHODS; ROOT MEAN SQUARED ERRORS; SUSCEPTIBILITY MAPPING;

ERRORS; IMAGE QUALITY; INVERSE PROBLEMS; MAPPING;

BAYESIAN NETWORKS;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CHEMICAL STRUCTURE; CLINICAL ARTICLE; DIPOLE; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; QUANTITATIVE SUSCEPTIBILITY MAPPING; SIMULATION; ALGORITHM; ANATOMY AND HISTOLOGY; ARTIFACT; BRAIN; BRAIN MAPPING; IMAGE PROCESSING; IMAGING PHANTOM; PROCEDURES;

ALGORITHMS; ARTIFACTS; BAYES THEOREM; BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING;

EID: 84887358254     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2266795     Document Type: Article

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