Hybrid physics-based elastic image registration using approximating splines

Stefan Wörz; Karl Rohr

doi:10.1117/12.769448

26 March 2008 Hybrid physics-based elastic image registration using approximating splines

Stefan Wörz, Karl Rohr

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69140V (2008) https://doi.org/10.1117/12.769448
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

We introduce a new hybrid physics-based approach for elastic image registration using approximating splines. As underlying deformation model we employ Gaussian elastic body splines (GEBS), which are an analytic solution of the Navier equation under Gaussian forces and are represented by matrix-valued basis functions. Our approach is formulated as an energy-minimizing functional that incorporates both landmark and intensity information as well as a regularization based on GEBS. We also include landmark localization uncertainties represented by weight matrices. Since the approach is based on a physical deformation model, cross-effects in elastic deformations can be handled. We demonstrate the applicability of our scheme based on MR images of the human brain. It turns out that the new scheme is superior to a pure landmark-based as well as a pure intensity-based scheme.

Citation Download Citation

Stefan Wörz and Karl Rohr "Hybrid physics-based elastic image registration using approximating splines", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69140V (26 March 2008); https://doi.org/10.1117/12.769448

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