Document Detail


Multimodal image coregistration and partitioning--a unified framework.
MedLine Citation:
PMID:  9344825     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper presents a method for the coregistration and partitioning (i.e., tissue segmentation) of brain images that have been acquired in different modalities. The basic idea is that instead of matching two images directly, one performs intermediate within-modality registrations to two template images that are already in register. One can use a least-squares minimization to determine the affine transformations that map between the templates and the images. By incorporating suitable constraints, a rigid body transformation which directly maps between the images can be extracted from these more general affine transformations. A further refinement capitalizes on the implicit normalization of both images into a standard space. This facilitates segmentation or partitioning of both original images into homologous tissue classifications. Once partitioned, the partitions can be jointly matched, further increasing the accuracy of the coregistration. In short, these techniques reduce the between-modality problem to a series of simpler within-modality problems. These methods are relatively robust, address a number of problems in image transformations, and require no manual intervention.
Authors:
J Ashburner; K Friston
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  NeuroImage     Volume:  6     ISSN:  1053-8119     ISO Abbreviation:  Neuroimage     Publication Date:  1997 Oct 
Date Detail:
Created Date:  1997-12-10     Completed Date:  1997-12-10     Revised Date:  2009-09-29    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  209-17     Citation Subset:  IM    
Copyright Information:
Copyright 1997 Academic Press.
Affiliation:
Wellcome Department of Cognitive Neurology, Institute of Neurology, London, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Brain / anatomy & histology*,  radionuclide imaging
Brain Mapping / methods
Evaluation Studies as Topic
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging
Models, Theoretical
Templates, Genetic
Tomography, Emission-Computed
Grant Support
ID/Acronym/Agency:
//Wellcome Trust

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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