DocumentCode
723734
Title
Comparison of volumes of subcortical regions in schizophrenia patients and healthy controls using MRI
Author
Khodaei, Afsoon ; Hossein-Zadeh, Gholam-Ali ; Ananloo, Esmaeil Shahsavand
Author_Institution
Sch. of ECE, Univ. of Tehran, Tehran, Iran
fYear
2015
fDate
11-12 March 2015
Firstpage
1
Lastpage
5
Abstract
As a crucial mental disorder, schizophrenia affects one percent of the world population. Diagnosis of this disorder is now based mainly on the clinical symptoms. As the first study in Iran, we investigate the magnetic resonance imaging (MRI) images of patients with schizophrenia to investigate the imaging biomarkers for helping the diagnosis of this disorder. In this study, we have analyzed MRI images from 12 schizophrenia patients and 12 healthy controls. We have examined the volume of the subcortical brain regions using a fully-automated whole brain segmentation technique. Volumes of these regions were compared between the groups of patient and control. The results showed significant volume reduction in hippocampus, amygdala, thalamus, cerebellum and brain stem between two groups (p-value ≤0.05). Detection of these abnormalities helps us diagnosis of this disorder and hopefully find the appropriate medication for treatment. Also the results of this study are consistent with several reported volumetric differences associated with schizophrenia.
Keywords
biomedical MRI; brain; image segmentation; medical disorders; medical image processing; MRI; amygdala; biomarkers; brain stem; cerebellum; clinical symptoms; crucial mental disorder; diagnosis; fully-automated whole brain segmentation technique; hippocampus; magnetic resonance imaging; schizophrenia patients; subcortical brain regions; thalamus; volume reduction; volumetric differences; Biomedical imaging; Hippocampus; Hospitals; Image analysis; Magnetic resonance imaging; Psychiatry; Statistical analysis; Schizophrenia; Structural MRI; Volumetric study; subcortical brain regions;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition and Image Analysis (IPRIA), 2015 2nd International Conference on
Conference_Location
Rasht
Print_ISBN
978-1-4799-8444-2
Type
conf
DOI
10.1109/PRIA.2015.7161649
Filename
7161649
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