Paper
24 June 1998 Fast semiautomatic techniques for segmentation of cranial vessels in CT angiographic studies
Martin Fiebich, Bernhard C. Renger, Vivek Sehgal, Christopher M. Straus, Kenneth R. Hoffmann
Author Affiliations +
Abstract
We have developed a technique for fast and reliable, computer-assisted segmentation of the vessels, thereby obviating time-consuming manual segmentation of intracranial vessels for creation of a 3D model. The high quality of the bone segmentation greatly facilitates the segmentation of the vascular structures. As a result, computer tomography angiography examinations may be a viable alternative to a more invasive and expensive conventional angiography techniques used in the diagnosis of the pathology of intracranial vessels, especially in the cerebrovascular emergencies.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Fiebich, Bernhard C. Renger, Vivek Sehgal, Christopher M. Straus, and Kenneth R. Hoffmann "Fast semiautomatic techniques for segmentation of cranial vessels in CT angiographic studies", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310829
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KEYWORDS
Bone

Image segmentation

3D modeling

Angiography

3D image processing

Computed tomography

Visualization

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