Methodological considerations for measuring rates of brain atrophy
Open Access
- 13 June 2003
- journal article
- research article
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 18 (1), 16-24
- https://doi.org/10.1002/jmri.10325
Abstract
Purpose To systematically compare two techniques for measuring brain atrophy rates from serial magnetic resonance imaging (MRI) studies. Materials and Methods Using the separation in atrophy rate between cohorts of cognitively normal elderly subjects and patients with Alzheimer's disease (AD) as the gold standard, we evaluated 1) different methods of computing volume change; 2) different methods for steps in image preprocessing—intensity normalization, alignment mask used, and bias field correction; 3) the effect of MRI acquisition hardware changes; and 4) the sensitivity of the method to variations in initial manual volume editing. For each of the preceding evaluations, measurements of whole‐brain and ventricular atrophy rates were calculated. Results In general, greater separation between the clinical groups was seen with ventricular rather than whole‐brain measures. Surprisingly, neither the use of bias field correction nor a major hardware change between the scan pairs affected group separation. Conclusion Atrophy rate measurements from serial MRI are candidates for use as surrogate markers of disease progression in AD and other dementing neurodegenerative disorders. The final method has excellent precision and accurately captures the expected biology of AD—arguably the two most important features if this technique is to be used as a biomarker of disease progression. J. Magn. Reson. Imaging 2003;18:16–24.Keywords
This publication has 7 references indexed in Scilit:
- Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change AnalysisNeuroImage, 2002
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- The biomedical imaging resource at Mayo ClinicIEEE Transactions on Medical Imaging, 2001
- Automated Image Registration: I. General Methods and Intrasubject, Intramodality ValidationJournal of Computer Assisted Tomography, 1998
- A nonparametric method for automatic correction of intensity nonuniformity in MRI dataIEEE Transactions on Medical Imaging, 1998
- The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRIIEEE Transactions on Medical Imaging, 1997
- Clinical diagnosis of Alzheimer's diseaseNeurology, 1984