Multimodal registration of MR images with a novel least-squares distance measure

Stefan Heldmann

doi:10.1117/12.844466

12 March 2010 Multimodal registration of MR images with a novel least-squares distance measure

Stefan Heldmann

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76230A (2010) https://doi.org/10.1117/12.844466
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

In this work we evaluate a novel method for multi-modal image registration of MR images. The key feature of our approach is a new distance measure that allows for comparing modalities that are related by an arbitrary gray-value mapping. The novel measure is formulated as least square problem for minimizing the sum of squared differences of two images with respect to changing gray-values of one of the images. It turns out that the novel measure can be computed explicitly and allows for very simple and efficient implementation. We compare our new approach to rigid registration with cross-correlation, mutual information, and normalized gradient fields as distance measure.

Citation Download Citation

Stefan Heldmann "Multimodal registration of MR images with a novel least-squares distance measure", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230A (12 March 2010); https://doi.org/10.1117/12.844466

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