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Analysis of regional atrophy and prolong adaptive exclusive atlas to detect the alzheimers neuro disorder using medical images

  • R. Kumar
  • K. Sakthidasan @ Sankaran
  • R. SampathEmail author
  • P. Mohamed Shakeel
Article
  • 11 Downloads

Abstract

Alzheimer’s Neurodegenerative Disease is understood neurological issue, which is influenced cerebrum cells are causes the intellectual decrease and memory misfortune, the sickness begins gentle and deteriorates. There is a serious necessity to identify Alzheimer’s disease at an earlier stage, therefore that the appropriate treatment can initiate early. The foremost causes for Alzheimer’s diseases are low blood flow and brain activity. So, the serious Alzheimer disease has been recognized by several existing methodologies but they are fails to recognize the disease in the earlier stage. Thus, in this work use Single Photon Emission Nuclear Tomographic Imaging(SPECT) for find the Alzheimer’s diseases. The collected SPECT image noise is removed by applying Lucy-Richardson method and affected region is segmented by using Prolong adaptive exclusive analytical Atlas (PAEA). After this segmentation process Regional Atrophy Analysis (RAA) is apply for find the values of Gray Matters (GM) and White Matters (WM) regions in SPECT image. Finally Artificial Neural Network is applying for classification process. The experimental results shows that the promising outcomes in term of accuracy, sensitivity, and specificity.

Keywords

Alzheimer’s neurodegenerative disease Single photon emission nuclear tomographic imaging (SPECT) Prolong adaptive exclusive analytical Atlas (PAEA) Regional atrophy analysis Gray matters White matters Alzheimer’s disease 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • R. Kumar
    • 1
  • K. Sakthidasan @ Sankaran
    • 2
  • R. Sampath
    • 3
    Email author
  • P. Mohamed Shakeel
    • 4
  1. 1.Department of Electronics and Instrumentation Engineering, NIT NagalandChumukedimaIndia
  2. 2.Department of Electronics and Communication EngineeringHindustan Institute of Technology and ScienceChennaiIndia
  3. 3.Mohamed SathakAJ College of EngineeringChennaiIndia
  4. 4.Faculty of Information and Communication TechnologyUniversiti Teknikal Malaysia MelakaDurian TunggalMalaysia

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