A unified variational approach to denoising and bias correction in MR

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2732, Issue , 2003, Pages 148-159

  Fan, Ayres ^a   Wells, William M ^b,c   Fisher, John W ^a,c   Çetin, Müjdat ^a   Haker, Steven ^b   Mulkern, Robert ^b   Tempany, Clare ^b   Willsky, Alan S ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFACT; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HEART; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROSTATE; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFACTS; BRAIN; COMPUTER SIMULATION; HEART; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PROSTATE; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; OPTIMIZATION;

BIAS-CORRECTION METHODS; COMPUTATIONALLY EFFICIENT; MULTIGRID TECHNIQUE; OPTIMIZATION PROBLEMS; PRECONDITIONED CONJUGATE GRADIENT; SPATIALLY HOMOGENEOUS; VARIATIONAL APPROACHES; VARIATIONAL FRAMEWORK;

MEDICAL IMAGING;

EID: 35248820712     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_13     Document Type: Article

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