Fast noniterative registration of magnetic resonance images

Nicolino J. Pizzi; Murray Alexander; Rodrigo A. Vivanco; Raymond L. Somorjai

doi:10.1117/12.431045

3 July 2001 Fast noniterative registration of magnetic resonance images

Nicolino J. Pizzi, Murray Alexander, Rodrigo A. Vivanco, Raymond L. Somorjai

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431045
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

EvIdent (EVent IDENTification) is an exploratory data analysis system for the detection and investigation of novelty, identified for a region of interest and its characteristics, within a set of images. For functional magnetic resonance imaging, for instance, a characteristic of the region of interest is a time course, which represents the intensity value of voxels over several discrete instances in time. An essential preprocessing step is the rapid registration of these images prior to analysis. Two dimensional image registration coefficients are obtained within EvIdent by solving a regression problem based on integration of a linearized matching equation over a set of patches in the image space. The registration method is robust to noise, offers a flexible hierarchical procedure, is easily generalizable to 3D registration, and is well suited to parallel processing. EvIdent, written in Java and C++, offers a sophisticated data model, an extensible algorithm framework, and a suite of graphical user interface constructs. We describe the registration algorithm and its implementation within the EvIdent software.

Citation Download Citation

Nicolino J. Pizzi, Murray Alexander, Rodrigo A. Vivanco, and Raymond L. Somorjai "Fast noniterative registration of magnetic resonance images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431045

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