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The Use of AI and Structural Magnetic Resonance Imaging in the Diagnosis of Major Depressive Disorder
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Author(s): Deniz Tanir (Kafkas University, Turkey)and Asli Beril Karakas (Kafkas University, Turkey)
Copyright: 2023
Pages: 21
Source title:
Machine Learning and AI Techniques in Interactive Medical Image Analysis
Source Author(s)/Editor(s): Lipismita Panigrahi (GITAM University (Deemed), India), Sandeep Biswal (O.P. Jindal University, India), Akash Kumar Bhoi (KIET Group of Institutions, India & Sikkim Manipal University, India), Akhtar Kalam (Victoria University, Australia)and Paolo Barsocchi (Institute of Information Science and Technologies, Italy)
DOI: 10.4018/978-1-6684-4671-3.ch010
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Abstract
Major depressive disorder (MDD) is one of the most frequent diseases in the mental and behavioral disorders group. Despite the fact that many diseases have been cured or eliminated as a consequence of technology and medical advances, the prevalence of major depressive disorder is quickly rising over the world. The structural brain abnormalities associated with severe depressive disorder have been widely studied using voxel-based morphometry. The MRICloud software has been used to process each subject's structural T1-weighted MRI scan. The classification model has been developed utilizing artificial intelligence (AI) algorithms to distinguish healthy and MDD patients. The study included 18 major depressive disorder patients and 19 healthy controls. Magnetic resonance imaging has been performed using 1.5 Tesla MR unit. As a result, MR images have been classified using AI algorithms to distinguish healthy and diagnosed with MDD patients.
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