Paper
6 June 2000 Semi-automatic active contour approach to segmentation of computed tomography volumes
Sven Loncaric, Domagoj Kovacevic, Erich Sorantin
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Abstract
In this paper a method for three-dimensional (3-D) semi- automatic segmentation of volumes of medical images is described. The method is semi-automatic in the sense that, in the initial phase, the user assistance is required for manual segmentation of a certain number of slices (cross-sections) of the volume. In the second phase, the algorithm for automatic segmentation is started. The segmentation algorithm is based on the active contour approach. A semi 3-D active contour algorithm is used in the sense that additional inter-slice forces are introduced in order to constrain the obtained solution. The energy function which is minimized is modified to exploit information provided by the manual segmentation of some of the slices performed by the user. The experiments have been performed using computed tomography (CT) scans of the abdominal region of the human body. In particular, CT images of abdominal aortic aneurysms have been segmented to determine the location of aorta. The experiments have shown the feasibility of the approach.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sven Loncaric, Domagoj Kovacevic, and Erich Sorantin "Semi-automatic active contour approach to segmentation of computed tomography volumes", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387757
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Image segmentation

Computed tomography

Medical imaging

3D image processing

Absorbance

Image analysis

Algorithm development

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