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

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.
OriginalspracheEnglisch
TitelMedical Imaging 2010: Image Processing
Redakteure/-innenDavid R. Haynor, Benoit M. Dawant
Seitenumfang8
Band7623
Herausgeber (Verlag)SPIE
Erscheinungsdatum12.03.2010
Seiten7623 - 7623 - 8
ISBN (Print)9780819480248
DOIs
PublikationsstatusVeröffentlicht - 12.03.2010
VeranstaltungSPIE Medical Imaging 2010
- San Diego, USA / Vereinigte Staaten
Dauer: 13.02.201018.02.2010

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