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Proceedings Paper

Fast semiautomatic techniques for segmentation of cranial vessels in CT angiographic studies
Author(s): Martin Fiebich; Bernhard C. Renger; Vivek Sehgal; Christopher M. Straus; Kenneth R. Hoffmann
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Paper 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.

Paper Details

Date Published: 24 June 1998
PDF: 5 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310829
Show Author Affiliations
Martin Fiebich, Univ. of Chicago (Germany)
Bernhard C. Renger, Univ. of Muenster (Germany)
Vivek Sehgal, Univ. of Chicago (United States)
Christopher M. Straus, Univ. of Chicago (United States)
Kenneth R. Hoffmann, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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