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Segmentation of Ultrasonic Images by Application of Active Contour Models

Großkopf, Stefan and Park, S. Y. and Kim, M. H. (1998):
Segmentation of Ultrasonic Images by Application of Active Contour Models.
In: International Congress Series; 1165, p. 871, Elsevier, Amsterdam; Lausanne, Computer Assisted Radiology and Surgery '98. Proceedings, [Conference or Workshop Item]

Abstract

Segmentation of ultrasonic images (US) enables the measurement of the area or in §D US the volume of objects. Due to speckle noise which is immanent to this modern, non-invasive, low-cost acquisition technique, segmentation is a skillful task. Here, we apply an active contour model (ACM). By using a global energy minimization approach in combination with a region oriented energy term our scheme offers great robustness and enables the interpolation of contours at image regions of low contrast. The large number of parameters of the ACM are adapted by evaluation of a training region sketched by the user.

Item Type: Conference or Workshop Item
Erschienen: 1998
Creators: Großkopf, Stefan and Park, S. Y. and Kim, M. H.
Title: Segmentation of Ultrasonic Images by Application of Active Contour Models
Language: English
Abstract:

Segmentation of ultrasonic images (US) enables the measurement of the area or in §D US the volume of objects. Due to speckle noise which is immanent to this modern, non-invasive, low-cost acquisition technique, segmentation is a skillful task. Here, we apply an active contour model (ACM). By using a global energy minimization approach in combination with a region oriented energy term our scheme offers great robustness and enables the interpolation of contours at image regions of low contrast. The large number of parameters of the ACM are adapted by evaluation of a training region sketched by the user.

Series Name: International Congress Series; 1165
Publisher: Elsevier, Amsterdam; Lausanne
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Computer Assisted Radiology and Surgery '98. Proceedings
Date Deposited: 16 Apr 2018 09:06
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