3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data

Stefan Wörz; Abdulsattar Alrajab; Raoul Arnold; Joachim Eichhorn; Hendrik von Tengg-Kobligk; Jens-Peter Schenk; Karl Rohr

doi:10.1117/12.2041755

21 March 2014 3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data

Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, Karl Rohr

Author Affiliations +

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 90340K (2014) https://doi.org/10.1117/12.2041755
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

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Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, and 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); https://doi.org/10.1117/12.2041755

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