J Magn Reson Imaging 2002 May;15(5):505-510
Tan IL, Van Schijndel RA, Van Walderveen MA, Quist M, Bos R, Pouwels PJ, Desmedt P, Ader HJ, Barkhof F.
MR Centre for MS Research and Departments of Radiology, Vrije Universiteit Medical Centre, Amsterdam, The Netherlands.
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.
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%.
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.
Copyright 2002 Wiley-Liss, Inc.