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Magnetic resonance image registration in multiple sclerosis: Comparison with repositioning error and observer‐based variability
Author(s) -
Tan I Leng,
van Schijndel Ronald A.,
van Walderveen Marianne A.A.,
Quist Marcel,
Bos Reinhard,
Pouwels Petra J.W.,
Desmedt Pol,
Adèr Herman J.,
Barkhof Frederik
Publication year - 2002
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.10093
Subject(s) - imaging phantom , magnetic resonance imaging , image registration , medicine , nuclear medicine , multiple sclerosis , observer (physics) , computer science , artificial intelligence , radiology , image (mathematics) , psychiatry , physics , quantum mechanics
Purpose To study the use of image registration in the analysis of multiple sclerosis (MS) lesion volume and compare this with repositioning error and observer‐based variability. Materials and Methods The normalized mutual information (NMI) algorithm is evaluated in an accuracy study using a phantom, followed by a validation study on magnetic resonance (MR) data of MS patients. Further, using scan‐rescan MR data, the effect of registration on MS lesion volume compared with repositioning error and observer‐based variability is assessed. Results The registration accuracy was near perfect in the phantom study, while the in vivo validation study demonstrated an accuracy on the order of 0.2–0.3 mm. In the scan‐rescan study, quantification accounted for 15.6% of the relative variance, repositioning for 44.4%, and registration for 40.0%. Conclusion NMI resulted in robust and accurate alignment of MR brain images of MS patients. Its use in the detection of changes in MS using large serial MR imaging (MRI) data warrants future evaluation. J. Magn. Reson. Imaging 2002;15:505–510. © 2002 Wiley‐Liss, Inc.