Automatic Model-guided Segmentation of the Human Brain Ventricular System From CT Images

Academic Radiology

Volumn 17, Issue 6, 2010, Pages 718-726

  Liu, Jimin ^a   Huang, Su ^a   Ihar, Volkau ^a   Wojciech, Ambrosius ^a   Lee, Looi Chow ^a   Nowinski, Wieslaw L ^a  

^a AGENCY FOR SCIENCE   (Singapore)

Author keywords

brain ventricular system; CT; deformable region of interest; image segmentation; stroke

Indexed keywords

ANATOMICAL VARIATION; ARTICLE; AUTOANALYSIS; BRAIN SIZE; BRAIN VENTRICLE; CEREBROSPINAL FLUID; CEREBROVASCULAR ACCIDENT; COMPUTER ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER MODEL; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; MAJOR CLINICAL STUDY; NEUROIMAGING; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL VENTRICLES; CEREBRAL VENTRICULOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77951960420     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2010.02.013     Document Type: Article

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