Multi-level adaptive segmentation of multi-parameter MR brain images

Computerized Medical Imaging and Graphics

Volumn 24, Issue 2, 2000, Pages 87-98

  Zavaljevski, A ^a   Dhawan, A P ^b   Gaskil, M ^c   Ball, W ^d   Johnson, J D ^b  

^a GE MEDICAL SYSTEMS   (United States)

^b The University of Toledo   (United States)

^c UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

^d CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

Brain image classification; Brain image segmentation; Magnetic resonance imaging; Model based adaptive segmentation; Multi parameter MR brain imaging

Indexed keywords

ALGORITHMS; BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; NEUROPHYSIOLOGY; PHYSIOLOGICAL MODELS; TISSUE; VISUALIZATION;

BRAIN IMAGING; MULTI-LEVEL ADAPTIVE SEGMENTATION;

MEDICAL IMAGING;

ADAPTATION; ALGORITHM; ARTICLE; BRAIN; CEREBROVASCULAR ACCIDENT; CLASSIFICATION; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MODEL; NEURORADIOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETER; PRIORITY JOURNAL; SCHOOL CHILD; STROKE; TECHNIQUE; TISSUE SPECIFICITY;

ALGORITHMS; BLOOD; BRAIN; CEREBROSPINAL FLUID; CEREBROVASCULAR ACCIDENT; CEREBROVASCULAR DISORDERS; CHILD; COLOR; CONTRAST MEDIA; DISCRIMINANT ANALYSIS; EXPERT SYSTEMS; FOLLOW-UP STUDIES; GADOLINIUM; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; USER-COMPUTER INTERFACE;

EID: 0034027929     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-6111(99)00042-7     Document Type: Article

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