Abstract #4160

Volumetric MR analysis of brain areas identifies SCA 1, 2 and 3 by applying random forest classifier

Dibashree Tamuli¹, Tavpritesh Sethi², Anup Singh^3,4, S. Senthil Kumaran⁵, Ashok Kumar Jaryal¹, Achal Kumar Srivastava⁶, and Kishore Kumar Deepak¹

¹Physiology, All India Institute of Medical Sciences (AIIMS), NewDelhi, India, ²Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India, ³Center for Biomedical Engineering (CBME), Indian Institute of Technology (IIT), New Delhi, India, ⁴Center for Biomedical Engineering (CBME), All India Institute of Medical Sciences (AIIMS), NewDelhi, India, ⁵NMR, All India Institute of Medical Sciences (AIIMS), NewDelhi, India, ⁶Neurology, All India Institute of Medical Sciences (AIIMS), NewDelhi, India

Brain volumetric analysis of SCA 1, 2 and 3 shows differential measurements with reference to cortical thinning and volumes of brain stem and cerebellum. Therefore, to find a solution to classify SCA1, 2 and 3, we have applied machine learning approach for feature selection followed by random forest modeling using volumetric features of the brain.

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