Advertisement
Published in:
2014 | OriginalPaper | Chapter
Quantification of the Aortic Morphology in Follow-Up 3D-MRA Images of Children
Authors : Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, Karl Rohr
Published in: Bildverarbeitung für die Medizin 2014
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The segmentation of the thoracic aorta and its main branches from medical image data is an important task in vascular image analysis. We introduce a new model-based approach for the segmentation of these vessels from follow-up 3D MRA images of children. For robust segmentation we propose an extended parametric cylinder model which requires only relatively few 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 use a spatial normalization scheme to align the segmentation results from follow-up examinations. We have evaluated our proposed approach using 3D synthetic images and we have successfully applied the approach to follow-up 3D MRA images of children.