Paper
10 March 2006 Automatic sub-volume registration by probabilistic random search
Jingfeng Han, Min Qiao, Joachim Hornegger, Torsten Kuwert, Werner Bautz, Wolfgang Römer
Author Affiliations +
Abstract
Registration of an individual's image data set to an anatomical atlas provides valuable information to the physician. In many cases, the individual image data sets are partial data, which may be mapped to one part or one organ of the entire atlas data. Most of the existing intensity based image registration approaches are designed to align images of the entire view. When they are applied to the registration with partial data, a manual pre-registration is usually required. This paper proposes a fully automatic approach to the registration of the incomplete image data to an anatomical atlas. The spatial transformations are modelled as any parametric functions. The proposed method is built upon a random search mechanism, which allows to find the optimal transformation randomly and globally even when the initialization is not ideal. It works more reliably than the existing methods for the partial data registration because it successfully overcomes the local optimum problem. With appropriate similarity measures, this framework is applicable to both mono-modal and multi-modal registration problems with partial data. The contribution of this work is the description of the mathematical framework of the proposed algorithm and the implementation of the related software. The medical evaluation on the MRI data and the comparison of the proposed method with different existing registration methods show the feasibility and superiority of the proposed method.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingfeng Han, Min Qiao, Joachim Hornegger, Torsten Kuwert, Werner Bautz, and Wolfgang Römer "Automatic sub-volume registration by probabilistic random search", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442H (10 March 2006); https://doi.org/10.1117/12.652281
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image registration

Distance measurement

Rigid registration

Image segmentation

Brain

Magnetic resonance imaging

Data fusion

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