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Exploiting Image Processing and AI for Neurological Disorder Diagnosis: A Focus on Alzheimer's and Parkinson's Diseases
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Author(s): Jyoti Kumari (Veer Surendra Sai University of Technology, India), Santi Kumari Behera (Veer Surendra Sai University of Technology, India)and Prabira Kumar Sethy (Guru Ghasidas Vishwavidyalaya, India)
Copyright: 2025
Pages: 28
Source title:
Driving Global Health and Sustainable Development Goals With Smart Technology
Source Author(s)/Editor(s): Mohit Kukreti (University of Technology and Applied Sceinces, Oman), Sabina Sehajpal (Chandigarh University, India), Rajesh Tiwari (Graphic Era University, India)and Kiran Sood (Chitkara University, India)
DOI: 10.4018/979-8-3373-0240-9.ch010
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Abstract
The diagnosis and management of neurological disorders, particularly Alzheimer's and Parkinson's diseases, rely heavily on advanced medical imaging techniques. Neuroimaging modalities such as magnetic resonance imaging (MRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT) play a critical role in revealing structural and functional changes in the brain associated with these diseases. This review explores how image processing techniques and artificial intelligence (AI), including machine learning and deep learning, are revolutionising the diagnosis of Alzheimer's and Parkinson's. By leveraging these technologies, significant improvements in early detection, disease progression tracking, and personalised treatment strategies have been achieved. This paper aims to provide a comprehensive overview of current AI-driven approaches, their applications in neuroimaging, and their potential to advance the understanding and treatment of these neurological disorders.
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