Model-to-image based 2D-3D registration of angiographic data

Sabine Mollus; Jördis Lübke; Andreas J. Walczuch; Heidrun Schumann; Jürgen Weese

doi:10.1117/12.770025

11 March 2008 Model-to-image based 2D-3D registration of angiographic data

Sabine Mollus, Jördis Lübke, Andreas J. Walczuch, Heidrun Schumann, Jürgen Weese

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69142S (2008) https://doi.org/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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available