Open AccessDetection of Frontotemporal Dementia using Artificial Intelligence Techniques
Author(s) -
Sathiyamoorthy P.N.,
Rama Prasath. A.
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6910.098319
Subject(s) - frontotemporal dementia , frontotemporal lobar degeneration , neuropsychology , dementia , atrophy , psychology , temporal lobe , population , frontal lobe , neuroscience , semantic dementia , cognitive psychology , disease , medicine , pathology , cognition , epilepsy , environmental health
Atrophy (degeneration) of frontal and temporal lobes in human brain causes a dysfunctionality in Language, Emotion, Executive abilities and these losses are irreversible. If Atrophy is detected at an early age it is beneficial for the patient. A detailed diagnosis of the patient in terms of physical, physiological, psychological and neuropsychological aspects are mandatory to trace the possibility. There is a continuous increase in population of the disease and limited number of specialists. Frontotemporal Dementia (FTD) happens due to the frontal and/or temporal lobe degeneration. The proposed system helps in the identification of the FTD in the brain using various Artificial Intelligence (AI) techniques. The study makes use of the MR brain images for the purpose of the detection of the FTD.