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Proceedings Paper

Fast noniterative registration of magnetic resonance images
Author(s): Nicolino J. Pizzi; Murray Alexander; Rodrigo A. Vivanco; Raymond L. Somorjai
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Paper 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.

Paper Details

Date Published: 3 July 2001
PDF: 10 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431045
Show Author Affiliations
Nicolino J. Pizzi, National Research Council Canada (Canada)
Murray Alexander, National Research Council Canada (Canada)
Rodrigo A. Vivanco, National Research Council Canada (Canada)
Raymond L. Somorjai, National Research Council Canada (Canada)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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