DocumentCode
1937010
Title
Comparison between Voxel-based Morphometry and Volumetric Analysis in Schizophrenia
Author
Zhang, Jing ; Buchsbaum, Monte S. ; Chu, Kingwai ; Hazlett, Erin A.
Author_Institution
Dept. of Psychiatry, Mount Sinai Sch. of Med., New York, NY
Volume
2
fYear
2008
fDate
27-30 May 2008
Firstpage
48
Lastpage
52
Abstract
This study compares the voxel-based morphometry (VBM) and region-of-interest (ROI)-based volumetric analysis in schizophrenia. Magnetic resonance imaging (MRI) data of 50 unmedicated schizophrenia patients and 82 healthy controls were examined. ROI- based volumetric analysis was performed by tracing caudates on anterior commissure and posterior commissure (ACPC)-positioned MRI. The comparison of 20 subjects in the lower and upper 25% for traced caudate size and the comparison between patients and controls revealed significantly reduced gray matter concentration in the caudate through VBM. Caudate volume (absolute and relative) revealed that patients with schizophrenia had smaller caudate nuclei than controls. The ROC results demonstrated that the performance of VBM (area under the curve (AUC): 61%) was similar to that of ROI-based volumetric analysis (AUC: 61% for relative ROI volume) and their correlation was 0.51 (p<0.05). These results suggest that to be an alternative to ROI-based volumetry in schizophrenia, cautious interpretation of VBM may be needed.
Keywords
biomedical MRI; brain; MRI; VBM; anterior commissure; magnetic resonance imaging; posterior commissure; region-of-interest-based volumetric analysis; schizophrenia; voxel-based morphometry; Biomedical engineering; Biomedical imaging; Biomedical informatics; Image analysis; Image segmentation; Kernel; Magnetic analysis; Magnetic resonance imaging; Performance analysis; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location
Sanya
Print_ISBN
978-0-7695-3118-2
Type
conf
DOI
10.1109/BMEI.2008.208
Filename
4549133
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