21 March 2014 3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Wörz, Stefan Wörz, Abdulsattar Alrajab, Abdulsattar Alrajab, Raoul Arnold, Raoul Arnold, Joachim Eichhorn, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, Jens-Peter Schenk, Karl Rohr, Karl Rohr, } "3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340K (21 March 2014); doi: 10.1117/12.2041755; https://doi.org/10.1117/12.2041755
PROCEEDINGS
6 PAGES


SHARE
Back to Top