Multimodal Registration of MR Images with a Novel Least-squares Distance Measure


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.
Original languageEnglish
Title of host publicationMedical Imaging 2010: Image Processing
EditorsDavid R. Haynor, Benoit M. Dawant
Number of pages8
Publication date12.03.2010
Pages7623 - 7623 - 8
ISBN (Print)9780819480248
Publication statusPublished - 12.03.2010
EventSPIE Medical Imaging 2010
- San Diego, United States
Duration: 13.02.201018.02.2010


Dive into the research topics of 'Multimodal Registration of MR Images with a Novel Least-squares Distance Measure'. Together they form a unique fingerprint.

Cite this