DocumentCode :
406589
Title :
Multiscale segmentation of the aorta in 3D ultrasound images
Author :
Krissian, K. ; Ellsmere, J. ; Vosburgh, K. ; Kikinis, R. ; Westin, C. -E
Author_Institution :
Brigham & Women´´s Hospital, Harvard Med. Sch., Boston, MA, USA
Volume :
1
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
638
Abstract :
Fast, reliable segmentation of the abdominal aorta from three dimensional ultrasound remains a difficult problem. Standard methods based on local information like thresholding, region growing or active contours fail in separating the arteries from the veins and suffer from the lack of homogeneity of the vessel intensity and from the partial contour information. We propose to use a model-based multiscale detection of the vessels centerlines based on a cylindrical model with circular cross-section, and adapted from previous work. Our method provides a set of centerlines and an estimate of the vessel radii along each line. After an interactive selection of the desired lines, a model of the aorta is generated using the radii information and compared to a manual segmentation. This model can also be locally improved using a level set technique in order to stick to the contours of the image and to allow non-circular cross-section.
Keywords :
biomedical ultrasonics; blood vessels; cardiovascular system; image segmentation; medical image processing; 3D ultrasound images; abdominal aorta; cylindrical model; model-based multiscale detection; multiscale segmentation; partial contour information; vessel radii estimate; vessels centerlines; Abdomen; Active contours; Arteries; Biomedical imaging; Computed tomography; Gastrointestinal tract; Image segmentation; Surgery; Ultrasonic imaging; Veins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279838
Filename :
1279838
Link To Document :
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