Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration

Stefan Wörz; Philipp Hoegen; Wei Liao; Matthias Müller-Eschner; Hans-Ulrich Kauczor; Hendrik von Tengg-Kobligk; Karl Rohr

doi:10.1117/12.2216091

21 March 2016 Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration

Stefan Wörz, Philipp Hoegen, Wei Liao, Matthias Müller-Eschner, Hans-Ulrich Kauczor, Hendrik von Tengg-Kobligk, Karl Rohr

Author Affiliations +

Proceedings Volume 9784, Medical Imaging 2016: Image Processing; 978419 (2016) https://doi.org/10.1117/12.2216091
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

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.

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Stefan Wörz, Philipp Hoegen, Wei Liao, Matthias Müller-Eschner, Hans-Ulrich Kauczor, Hendrik von Tengg-Kobligk, and Karl Rohr "Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978419 (21 March 2016); https://doi.org/10.1117/12.2216091

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