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Article

A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI)

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Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
2
Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
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Department of Electrical and Computer Engineering, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates
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College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia
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Department of Neurology, University of Louisville, Louisville, KY 40292, USA
*
Author to whom correspondence should be addressed.
Equivalent senior authors.
Academic Editor: James F. Rusling
Sensors 2021, 21(16), 5416; https://doi.org/10.3390/s21165416
Received: 21 June 2021 / Revised: 28 July 2021 / Accepted: 3 August 2021 / Published: 11 August 2021
(This article belongs to the Special Issue Computer Aided Diagnosis Sensors)
Alzheimer’s disease (AD) is a neurodegenerative disorder that targets the central nervous system (CNS). Statistics show that more than five million people in America face this disease. Several factors hinder diagnosis at an early stage, in particular, the divergence of 10–15 years between the onset of the underlying neuropathological changes and patients becoming symptomatic. This study surveyed patients with mild cognitive impairment (MCI), who were at risk of conversion to AD, with a local/regional-based computer-aided diagnosis system. The described system allowed for visualization of the disorder’s effect on cerebral cortical regions individually. The CAD system consists of four steps: (1) preprocess the scans and extract the cortex, (2) reconstruct the cortex and extract shape-based features, (3) fuse the extracted features, and (4) perform two levels of diagnosis: cortical region-based followed by global. The experimental results showed an encouraging performance of the proposed system when compared with related work, with a maximum accuracy of 86.30%, specificity 88.33%, and sensitivity 84.88%. Behavioral and cognitive correlations identified brain regions involved in language, executive function/cognition, and memory in MCI subjects, which regions are also involved in the neuropathology of AD. View Full-Text
Keywords: Alzheimer’s disease; personalized diagnosis; mild cognitive impairment; computer-aided diagnosis; sMRI Alzheimer’s disease; personalized diagnosis; mild cognitive impairment; computer-aided diagnosis; sMRI
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MDPI and ACS Style

El-Gamal, F.E.-Z.A.; Elmogy, M.; Mahmoud, A.; Shalaby, A.; Switala, A.E.; Ghazal, M.; Soliman, H.; Atwan, A.; Alghamdi, N.S.; Barnes, G.N.; El-Baz, A. A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI). Sensors 2021, 21, 5416. https://doi.org/10.3390/s21165416

AMA Style

El-Gamal FE-ZA, Elmogy M, Mahmoud A, Shalaby A, Switala AE, Ghazal M, Soliman H, Atwan A, Alghamdi NS, Barnes GN, El-Baz A. A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI). Sensors. 2021; 21(16):5416. https://doi.org/10.3390/s21165416

Chicago/Turabian Style

El-Gamal, Fatma E.-Z.A., Mohammed Elmogy, Ali Mahmoud, Ahmed Shalaby, Andrew E. Switala, Mohammed Ghazal, Hassan Soliman, Ahmed Atwan, Norah S. Alghamdi, Gregory N. Barnes, and Ayman El-Baz. 2021. "A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI)" Sensors 21, no. 16: 5416. https://doi.org/10.3390/s21165416

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