11 March 2008 Model-to-image based 2D-3D registration of angiographic data
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Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69142S (2008); doi: 10.1117/12.770025
Event: Medical Imaging, 2008, San Diego, California, United States
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.
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Sabine Mollus, Jördis Lübke, Andreas J. Walczuch, Heidrun Schumann, Jürgen Weese, "Model-to-image based 2D-3D registration of angiographic data", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69142S (11 March 2008); doi: 10.1117/12.770025; https://doi.org/10.1117/12.770025
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KEYWORDS
Data modeling

Angiography

Image registration

3D modeling

3D acquisition

3D image processing

Image segmentation

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