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Elastic matching of dynamic MR mammographic images
Author(s) -
Lucht Robert,
Knopp Michael V.,
Brix Gunnar
Publication year - 2000
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/(sici)1522-2594(200001)43:1<9::aid-mrm2>3.0.co;2-c
Subject(s) - voxel , matching (statistics) , computer science , artificial intelligence , feature (linguistics) , computer vision , magnetic resonance imaging , dynamic contrast enhanced mri , displacement (psychology) , pattern recognition (psychology) , mathematics , radiology , medicine , psychology , linguistics , statistics , philosophy , psychotherapist
Dynamic magnetic resonance imaging (MRI) carried out with paramagnetic contrast media has been proven to increase sensitivity and specificity in the detection of breast cancer. Due to movements of the patients and changes in the shape of the breasts during the measurement period, a coregistration (matching) of the acquired data volumes is necessary to obtain higher accuracy for the localization of lesions. In this study, an algorithm for the elastic matching of dynamic MRI volume data is presented. The approach includes automatic feature extraction along with the analysis of corresponding features between the data sets. The matching is actually slice‐oriented, even though information on displacement vectors in adjacent slices is taken into account. An extension of the procedure to fully three‐dimensionally (3D) matching is straight forward. Up until now, the approach has been applied to 20 dynamic MRI studies. The matching time for two image data sets with 256 × 256 × 15 voxels each was about 4 min using a PC (Pentium Pro, 200MHz). Magn Reson Med 43:9–16, 2000. © 2000 Wiley‐Liss, Inc.