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Proceedings Paper

Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration
Author(s): Stefan Wörz; Philipp Hoegen; Wei Liao; Matthias Müller-Eschner; Hans-Ulrich Kauczor; Hendrik von Tengg-Kobligk; Karl Rohr
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Paper Abstract

We introduce a framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms. Phantoms are designed using a CAD system and created with a 3D printer, and comprise realistic shapes including branches and pathologies such as abdominal aortic aneurysms (AAA). To transfer ground truth information to the 3D image coordinate system, we use a landmark-based registration scheme utilizing fiducial markers integrated in the phantom design. For accurate 3D localization of the markers we developed a novel 3D parametric intensity model that is directly fitted to the markers in the images. We also performed a quantitative evaluation of different vessel segmentation approaches for a phantom of an AAA.

Paper Details

Date Published: 21 March 2016
PDF: 7 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978419 (21 March 2016); doi: 10.1117/12.2216091
Show Author Affiliations
Stefan Wörz, Univ. Heidelberg (Germany)
Philipp Hoegen, UniversitätsKlinikum Heidelberg (Germany)
German Cancer Research Ctr. (Germany)
Wei Liao, Univ. Heidelberg (Germany)
Matthias Müller-Eschner, UniversitätsKlinikum Heidelberg (Germany)
German Cancer Research Ctr. (Germany)
Hans-Ulrich Kauczor, UniversitätsKlinikum Heidelberg (Germany)
Hendrik von Tengg-Kobligk, Inselspital Bern (Switzerland)
Karl Rohr, Univ. Heidelberg (Germany)


Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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