Level set motion assisted non-rigid 3D image registration

Deshan Yang; Joseph O. Deasy; Daniel A. Low; Issam El Naqa

doi:10.1117/12.710024

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2 March 2007 Level set motion assisted non-rigid 3D image registration

Deshan Yang, Joseph O. Deasy, Daniel A. Low, Issam El Naqa

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Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651207 (2007) https://doi.org/10.1117/12.710024
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Medical imaging applications of rigid and non-rigid elastic deformable image registration are undergoing wide scale development. Our approach determines image deformation maps through a hierarchical process, from global to local scales. Vemuri (2000) reported a registration method, based on levelset evolution theory, to morph an image along the motion gradient until it deforms to the reference image. We have applied this level set motion method as basis to iteratively compute the incremental motion fields and then we approximated the field using a higher-level affine and non-rigid motion model. In such a way, we combine sequentially the global affine motion, local affine motion and local non-rigid motion. Our method is fully automated, computationally efficient, and is able to detect large deformations if used together with multi-grid approaches, potentially yielding greater registration accuracy.

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Deshan Yang, Joseph O. Deasy, Daniel A. Low, and Issam El Naqa "Level set motion assisted non-rigid 3D image registration", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651207 (2 March 2007); https://doi.org/10.1117/12.710024

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