DocumentCode :
2817947
Title :
Application of computational anatomy methods to MRI data for the diagnosis of Alzheimer´S disease
Author :
Veerman, J.A.C. ; Soldea, O. ; Sahindrakar, P. ; Wan, Y. ; Jasinschi, R.S.
Author_Institution :
Video & Image Process. Group, Philips Res., Eur., Eindhoven, Netherlands
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
1593
Lastpage :
1596
Abstract :
In this paper we propose a new method for quantification of the rate of brain tissue deformation of patients with neurode-generative diseases. Our method allows for generating intermediary (virtual) MR brain volumes from real scans. In addition, we introduce two new descriptor spaces: (i) joint brain tissue deformation displacement vector magnitude and Jacobian and (ii) joint polar angles of displacement vector. In order to conduct our analysis, we built a visualization environment that illustrates images and flows, and it quantifies parameters. Through the calculation of the parameters, of the intermediary MR volumes, we create N-fold information simulating the deformation process. While our method is suitable for every neurodegenerative disease, we empirically tested our scheme on patients with diagnosed Alzheimer´s disease, mild cognitive impairment and normal controls from the ADNI database. We focus on regions containing either ventricles or hippocampus. A distinction between different subjects could clearly be made.
Keywords :
biomedical MRI; brain; data visualisation; diseases; medical image processing; ADNI database; Alzheimer disease diagnosis; MR brain volume generation; N-fold information; brain tissue deformation displacement vector magnitude; computational anatomy methods; hippocampus; joint polar angles; mild cognitive impairment; neurode-generative diseases; patient brain tissue deformation; ventricles; visualization environment; Alzheimer´s disease; Atrophy; Hippocampus; Jacobian matrices; Magnetic resonance imaging; Vectors; Alzheimer´s disease; Computational anatomy; quantitative diagnosis; time evolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6115754
Filename :
6115754
Link To Document :
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