Title :
A repository of MR morphometry data in Alzheimer´s disease and mild cognitive impairment
Author :
Heckemann, Rolf A. ; Keihaninejad, Shiva ; Aljabar, Paul ; Gray, Katherine R. ; Nielsen, Casper ; Rueckert, Daniel ; Hajnal, Joseph V. ; Hammers, Alexander
Author_Institution :
Neurodis Found., Lyon, France
fDate :
March 30 2011-April 2 2011
Abstract :
This paper presents a novel, publicly available repository of anatomically segmented brain images of healthy subjects as well as patients with mild cognitive impairment and Alzheimer´s disease. The underlying magnetic resonance images have been obtained from the Alzheimer´s Disease Neuroimaging Initiative database. T1-weighted images (1.5 T and 3 T) have been processed with the multi-atlas based MAPER procedure, resulting in labels for 83 regions covering the whole brain in 816 subjects. Volumetric outliers were reviewed visually to identify limitations of the procedure and the segmentations. Morphometric comparisons between diagnostic groups showed highly significant group differences for a number of individual regions in the temporal lobe and parietal lobes. The segmentations are self-consistent, as evidenced by strong agreement between segmentations of paired images acquired at different field strengths (Jaccard coefficient: 0.802 ± 0.0146). This repository of segmentations is a potentially valuable resource to researchers working with ADNI data.
Keywords :
biomedical MRI; brain; diseases; image segmentation; medical image processing; neurophysiology; visual databases; Alzheimer´s Disease Neuroimaging Initiative database; Alzheimer´s disease; MR morphometry data repository; T1 weighted images; anatomically segmented brain images; magnetic flux density 1.5 T; magnetic flux density 3 T; magnetic resonance images; mild cognitive impairment; morphometric comparisons; multiatlas based MAPER procedure; paired image segmentations; parietal lobe; temporal lobe; volumetric outliers; Alzheimer´s disease; Atrophy; Image segmentation; Magnetic resonance imaging; Visualization; brain atlas; brain pathology; image segmentation; magnetic resonance imaging;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872543