Mohit Saxena1,
Namita Aggarwal2, Bharti Rana2, S. Senthil Kumaran3,
Ramesh Kumar Agrawal2, Madhuri Behari1
1Department
of Neurology, All India Institute of Medical Sciences, New Delhi, Delhi,
India; 2School of Computer & Systems Sciences, Jawaharlal
Nehru University, New Delhi, Delhi, India; 3Department of NMR, All
India Institute of Medical Sciences, New Delhi, Delhi, India
Support vector machine (SVM) is used to distinguish PD from controls in terms of white matter changes in substantia nigra, thalamus and/ or combination of both areas from the T1-weighted MR images. We extracted voxels from white tissue probability maps of substantia nigra and thalamus region. The performance of the decision system was evaluated in terms of sensitivity, specificity and accuracy. Experimental results demonstrate the importance of white matter change in thalamus and effectiveness of SVM to automatically distinguish PD from controls.