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Proceedings Paper

A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images
Author(s): Stefan Wörz; Hendrik von Tengg-Kobligk; Karl Rohr
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Paper Abstract

We introduce a new 3D curved tubular intensity model in conjunction with a model fitting scheme for accurate segmentation and quantification of thin vessels in 3D tomographic images. The curved tubular model is formulated based on principles of the image formation process, and we have derived an analytic solution for the model function. In contrast to previous straight models, the new model allows to accurately represent curved tubular structures, to directly estimate the local curvature by model fitting, as well as to more accurately estimate the shape and other parameters of tubular structures. We have successfully applied our approach to 3D synthetic images as well as 3D MRA and 3D CTA vascular images of the human. It turned out that we achieved more accurate segmentation results in comparison to using a straight model.

Paper Details

Date Published: 12 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230P (12 March 2010); doi: 10.1117/12.844117
Show Author Affiliations
Stefan Wörz, Ruprecht-Karls-Univ. Heidelberg (Germany)
Hendrik von Tengg-Kobligk, Ruprecht-Karls-Univ. Heidelberg (Germany)
German Cancer Research Ctr. (Germany)
Karl Rohr, Ruprecht-Karls-Univ. Heidelberg (Germany)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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