A fast and automatic method to correct intensity inhomogeneity in MR brain images

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

Volumn 4191 LNCS - II, Issue , 2006, Pages 324-331

  Hou, Zujun ^a,b   Huang, Su ^b   Hu, Qingmao ^b   Nowinski, Wieslaw L ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b AGENCY FOR SCIENCE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; STATISTICAL METHODS;

INTENSITY INHOMOGENEITY CORRECTION; SCALE REPRESENTATIONS;

BIOMEDICAL ENGINEERING;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551680518     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_40     Document Type: Conference Paper

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