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.com
Volume 08
Journal of Alzheimers Disease & Parkinsonism
Parkinsons Congress 2018
May 14-15, 2018
May 14-15, 2018 Singapore
4
th
Global Experts Meeting on
Parkinson’s & Movement Disorders
Detection of parkinson’s disease in
Homo sapiens
using supervised approach
B ANUSHA and P Geetha
Anna University, India
C
ognitive impairment is an early stage symptom of premature onset dementia. About 20-50% of neurodegenerative
Parkinson’s Disorder (PD) occur due to non-motor cognitive abilities like memory power. Modern brain imaging
techniques such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single-Photon Emission
Computed Tomography (SPECT) and so on, have been used for early attack diagnosis of PD with a wide stretch. Existing works
made a manual discrimination of control from PD affected. In this paper, we propose supervised approach based automated
PD labelling system, which effectively identifies parkinson’s disease in
Homo sapiens
. We used Parkinson’s Progression Marker
Initiative (PPMI) dataset and considered OSTU algorithm for segmenting the affected super colliculus region of brain. In this
work, we compared various spatial texture feature extraction techniques such as Gabor Filter (GF), Fast Fourier Transform
(FFT), Fused GF-FFT, two level FFT-GF and two-level GF-FFT on the segmented region of both affected and not affected
brain images. A supervised approach is used to classify as parkinson’s disease affected or not affected based on their features
of segmented region. Finally, the recital of the proposed system is estimated based on its recognition accuracy, which attained
the maximum of 85% when we use two level GF-FFT feature extraction for the detection of parkinson disease affected person.
bsanusharaj@gmail.comJ Alzheimers Dis Parkinsonism 2018, Volume 8
DOI: 10.4172/2161-0460-C2-040