Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis

Author:

Boisgontier Hervé,Noblet Vincent,Heitz Fabrice,Rumbach Lucien,Armspach Jean-Paul

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference37 articles.

1. Spatial transformations of diffusion tensor magnetic resonance images;Alexander;IEEE Transactions on Medical Imaging,2001

2. Theoretical analysis of the effects of noise on diffusion tensor imaging;Anderson;Magnetic Resonance in Medicine,2001

3. MR diffusion tensor spectroscopy and imaging;Basser;Biophysical Journal,1994

4. Boisgontier, H., Noblet, V., Heitz, F., Rumbach, L., Armspach, J.-P., 2008. An automatic method for change detection in serial DTI-derived scalar images. In: MICCAI Workshop on MIAMS, New York, USA.

5. Boisgontier, H., Noblet, V., Heitz, F., Rumbach, L., Armspach, J.-P., 2009. Generalized likelihood ratio tests for change detection in diffusion tensor images. In: The Sixth IEEE International Symposium on Biomedical Imaging, Boston, MA, USA, pp. 811–814.

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