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Proceedings Paper

Model-to-image based 2D-3D registration of angiographic data
Author(s): Sabine Mollus; Jördis Lübke; Andreas J. Walczuch; Heidrun Schumann; Jürgen Weese
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Paper Abstract

We propose a novel registration method, which combines well-known vessel detection techniques with aspects of model adaptation. The proposed method is tailored to the requirements of 2D-3D-registration of interventional angiographic X-ray data such as acquired during abdominal procedures. As prerequisite, a vessel centerline is extracted out of a rotational angiography (3DRA) data set to build an individual model of the vascular tree. Following the two steps of local vessel detection and model transformation the centerline model is matched to one dynamic subtraction angiography (DSA) target image. Thereby, the in-plane position and the 3D orientation of the centerline is related to the vessel candidates found in the target image minimizing the residual error in least squares manner. In contrast to feature-based methods, no segmentation of the vessel tree in the 2D target image is required. First experiments with synthetic angiographies and clinical data sets indicate that matching with the proposed model-to-image based registration approach is accurate and robust and is characterized by a large capture range.

Paper Details

Date Published: 11 March 2008
PDF: 12 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69142S (11 March 2008); doi: 10.1117/12.770025
Show Author Affiliations
Sabine Mollus, Philips Research Europe (Germany)
Jördis Lübke, Univ. Medical Ctr. Freiburg (Germany)
Andreas J. Walczuch, Philips Research Europe (Germany)
Heidrun Schumann, Univ. of Rostock (Germany)
Jürgen Weese, Philips Research Europe (Germany)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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