Semiautomatic vessel wall detection and quantification of wall thickness in computed tomography images of human abdominal aortic aneurysms

Medical Physics

Volumn 37, Issue 2, 2010, Pages 638-648

  Shum, Judy ^a   Dimartino, Elena S ^a,c   Goldhammer, Adam ^a   Goldman, Daniel H ^a,d   Acker, Leah C ^b,e   Patel, Gopal ^a,f   Ng, Julie H ^a   Martufi, Giampaolo ^b,g   Finol, Ender A ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF CALGARY   (Canada)

^d Neosaej Corporation   (United States)

^e HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^f NONE   (United States)

^g ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Abdominal aortic aneurysm; Automatic segmentation algorithm; Biomechanics; Computed tomography; Wall thickness

Indexed keywords

BIOMECHANICS; BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; IMAGE ENHANCEMENT; THICKNESS MEASUREMENT;

ABDOMINAL AORTIC ANEURYSMS; AUTOMATIC SEGMENTATIONS; COEFFICIENTS OF VARIATIONS; COMPUTED TOMOGRAPHY IMAGES; DETECTION AND QUANTIFICATIONS; INTEROBSERVER VARIABILITY; QUANTITATIVE MEASUREMENT; WALL THICKNESS;

IMAGE SEGMENTATION;

EID: 75749145156     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3284976     Document Type: Article

References (32)

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