Share Email Print
cover

Proceedings Paper

3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data
Author(s): Stefan Wörz; Abdulsattar Alrajab; Raoul Arnold; Joachim Eichhorn; Hendrik von Tengg-Kobligk; Jens-Peter Schenk; Karl Rohr
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We introduce a new model-based approach for the segmentation of the thoracic aorta and its main branches from follow-up pediatric 3D MRA image data. For robust segmentation of vessels even in difficult cases (e.g., neighboring structures), we propose a new extended parametric cylinder model which requires only relatively few model parameters. The new model is used in conjunction with a two-step fitting scheme for refining the segmentation result yielding an accurate segmentation of the vascular shape. Moreover, we include a novel adaptive background masking scheme and we describe a spatial normalization scheme to align the segmentation results from follow-up examinations. We have evaluated our proposed approach using different 3D synthetic images and we have successfully applied the approach to follow-up pediatric 3D MRA image data.

Paper Details

Date Published: 21 March 2014
PDF: 6 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340K (21 March 2014); doi: 10.1117/12.2041755
Show Author Affiliations
Stefan Wörz, Univ. of Heidelberg (Germany)
Abdulsattar Alrajab, Univ. of Heidelberg (Germany)
Raoul Arnold, Univ. of Heidelberg (Germany)
Joachim Eichhorn, Univ. of Heidelberg (Germany)
Hendrik von Tengg-Kobligk, Univ. of Heidelberg (Germany)
Univ. Bern (Switzerland)
Jens-Peter Schenk, Univ. of Heidelberg (Germany)
Karl Rohr, Univ. of Heidelberg (Germany)


Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

© SPIE. Terms of Use
Back to Top