cigl logo

Clinical Image Guidance Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Multiscale Segmentation of the Aorta in 3D Ultrasound Images

Institution:
Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Publisher:
Conf Proc IEEE Eng Med Biol Soc
Publication Date:
Sep-2003
Volume Number:
1
Pages:
638-41
Citation:
Conf Proc IEEE Eng Med Biol Soc (EMBS). 2003 Sep;1:638-41.
Keywords:
Segmentation, Multiscale Analysis, Ultrasound
Appears in Collections:
SPL, CIGL, LMI, NAC
Generated Citation:
Krissian K., Ellsmere J., Vosburgh K.G., Kikinis R., Westin C-F. Multiscale Segmentation of the Aorta in 3D Ultrasound Images. Conf Proc IEEE Eng Med Biol Soc (EMBS). 2003 Sep;1:638-41.
Downloaded: 1928 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

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.

Additional Material
1 File (210.532kB)
Krissian-IEEE-EMBS2003-fig1.jpg (210.532kB)