DocumentCode :
1396737
Title :
The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI
Author :
Freeborough, Peter A. ; Fox, Nick C.
Author_Institution :
Dementia Res. Group, Nat. Hosp. for Neurol. & Neurosurg., London, UK
Volume :
16
Issue :
5
fYear :
1997
Firstpage :
623
Lastpage :
629
Abstract :
We propose the boundary shift integral (BSI) as a measure of cerebral volume changes derived from registered repeat three-dimensional (3-D) magnetic resonance (MR) [3D MR] scans. The BSI determines the total volume through which the boundaries of a given cerebral structure have moved and, hence, the volume change, directly from voxel intensities. We found brain and ventricular BSI´s correlated tightly (r=1.000 and r=0.999) with simulated volumes of change. Applied to 21 control scan pairs and 11 scan pairs from Alzheimer´s disease (AD) patients (mean interval 386 days) the BSI yielded mean brain volume loss of 1.8 cc (controls) and 34.7 cc (AD); the control group was tightly bunched (SD=3.8 cc) and there was wide group separation, the group means differing by 8.7 control group standard deviations (SDs). A measure based on the same segmentation used by the BSI yielded similar group means, but wide spread in the control group (SD=13.4 cc) and group overlap, the group means differing by 2.8 control group SDs. The BSI yielded mean ventricular volume losses of 0.4 cc (controls) and 10.1 cc (AD). Good linear correlation (r=0.997) was obtained between the ventricular BSI and the difference in their segmented volumes. We conclude the BSI is an accurate and robust measure of regional and global cerebral volume changes.
Keywords :
biomedical NMR; brain; edge detection; image registration; image segmentation; medical image processing; 3D MR scans; Alzheimer´s disease patients; boundary shift integral; brain; cerebral volume changes; control group standard deviations; control scan pairs; global cerebral volume changes; mean brain volume loss; regional cerebral volume changes; registered repeat MRI; segmentation; segmented volumes; three-dimensional magnetic resonance; total volume; ventricular BSI; voxel intensities; Alzheimer´s disease; Dementia; Drugs; Hospitals; Integral equations; Loss measurement; Magnetic resonance; Magnetic resonance imaging; Robustness; Volume measurement; Algorithms; Alzheimer Disease; Artifacts; Brain; Case-Control Studies; Cell Death; Cerebral Ventricles; Computer Simulation; Evaluation Studies as Topic; Follow-Up Studies; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Biological; Neurofibrillary Tangles; Senile Plaques;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.640753
Filename :
640753
Link To Document :
بازگشت