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Proceedings Paper

Automatic segmentation of heart cavities in multidimensional ultrasound images
Author(s): Ivo Wolf; Gerald Glombitza; Rosalyn De Simone; Hans-Peter Meinzer
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Paper Abstract

We propose a segmentation method different from active contours, which can cope with incomplete edges. The algorithm has been developed to segment heart cavities, but may be extended to more complex object shapes. Due to the almost convex geometry of heart cavities we are using a polar coordinate system with its origin near the cavity's center. The image is scanned from the origin for potential edge points. In order to assess the likelihood of an edge point to belong to the myocardial wall, region based information, such as visibility and local wall thickness, is included. The local information (edge points) progressively is expanded by first grouping the edge points to line segments and then selecting a subgroup of segments to obtain the final closed contour. This is done by means of minimizing a cost function. The plausibility of the result is checked and, if needed, the contour is corrected and/or refined by searching for additional potential edge points. For multidimensional images the algorithm is applied slice-by-slice without the need of further user interaction. The new segmentation method has been applied to clinical ultrasound images, the result being that the myocardial wall correctly was detected in the vast majority of cases.

Paper Details

Date Published: 6 June 2000
PDF: 11 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387689
Show Author Affiliations
Ivo Wolf, Deutsches Krebsforschungszentrum (Germany)
Gerald Glombitza, Deutsches Krebsforschungszentrum (Germany)
Rosalyn De Simone, Univ. of Heidelberg (Germany)
Hans-Peter Meinzer, Deutsches Krebsforschungszentrum (Germany)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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