ISSN : 2663-2187

Survey for Segmentation and analysis of f-MRI images to detect brain activities

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Dhanashri Milind Biradar, Rameshwari Karoshi
» doi: 10.48047/AFJBS.6.5.2024. 11132-11138

Abstract

Brain is the most important organ in the human body, which controls the vital processes and functional studies. Functional Magnetic Resonance Imaging (fMRI) calculates the small changes in blood flow that occur due to brain activity. To examine the brain’s functional anatomy, or to determine which parts of the brain are handling critical functions, to evaluate the after effects of stroke or other disease, or to guide the brain treatment, the fMRI can be generally used. FMRI’s are more detailed in their images as compared to Computerized tomography (CT) scan. The images obtained from fMRI are processed using image processing techniques and then learning algorithms are applied to precisely locate, segregate and categorize various brain regions depending upon their level of activity. Analysis of fMRI is beneficial to detect and to cure various syndromes like, Post Traumatic Syndrome Disorder (PTSD), for pre-surgical mapping, to guide a neurosurgeon to spare brain tissues that, if injured, would cause new clinical deficits or limit good recovery. It has had a major impact in cognitive neuroscience. This paper outlines the survey of various studies performed using fMRI images to detect brain activities in numerous application of clinical sciences.

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