Analysis of dynamic susceptibility contrast MRI time series based on unsupervised clustering methods

IEEE Transactions on Information Technology in Biomedicine

Volumn 11, Issue 5, 2007, Pages 563-573

  Meyer Baese, A ^a   Lange, Oliver ^a   Wismueller, Axel ^b   Hurdal, M K ^c  

^a FAMU FSU COLLEGE OF ENGINEERING   (United States)

^b UNIVERSITY OF MUNICH   (Germany)

^c FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Cluster analysis techniques; Dynamic susceptibility contrast MRI; Image segmentation; Perfusion imaging

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; FUZZY CLUSTERING; IMAGE SEGMENTATION; MEDICAL IMAGING; NEUROLOGY; NONINVASIVE MEDICAL PROCEDURES; PIXELS; SELF ORGANIZING MAPS; TIME SERIES ANALYSIS;

DATA SHARING; RECEIVER OPERATING CHARACTERISTIC; UNSUPERVISED CLUSTERING TECHNIQUE;

MAGNETIC RESONANCE IMAGING;

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM PENTETATE;

ADULT; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CEREBROVASCULAR ACCIDENT; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; ECHO PLANAR IMAGING; EVALUATION; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED;

ADULT; AGED; ARTIFICIAL INTELLIGENCE; CEREBROVASCULAR ACCIDENT; CLUSTER ANALYSIS; CONTRAST MEDIA; ECHO-PLANAR IMAGING; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED;

EID: 34548678448     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2007.897597     Document Type: Article

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