Automatic segmentation of cerebrospinal fluid, white and gray matter in unenhanced computed tomography images

Academic Radiology

Volumn 17, Issue 11, 2010, Pages 1350-1358

  Gupta, Varsha ^a   Ambrosius, Wojciech ^a   Qian, Guoyu ^a   Blazejewska, Anna ^a   Kazmierski, Radoslaw ^b   Urbanik, Andrzej ^c   Nowinski, Wieslaw L ^a  

^a AGENCY FOR SCIENCE   (Singapore)

^b POZNAN UNIVERSITY OF MEDICAL SCIENCES   (Poland)

^c JAGIELLONIAN UNIVERSITY MEDICAL COLLEGE   (Poland)

Author keywords

Brain; Cerebrospinal fluid; Computed tomography; Gray matter; Segmentation; White matter

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; CEREBROSPINAL FLUID; CLASSIFICATION ALGORITHM; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; GRAY MATTER; HISTOGRAM; HUMAN; MALE; NORMAL HUMAN; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; THREE DIMENSIONAL IMAGING; WHITE MATTER;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CEREBROSPINAL FLUID; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NERVE FIBERS, MYELINATED; NEURONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77957675034     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2010.06.005     Document Type: Article

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