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Reseach Article

VBM based MR Imaging Volumetric Analysis of AD and MCI

by M.M.Patil, A.R.Yardi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 2
Year of Publication: 2011
Authors: M.M.Patil, A.R.Yardi
10.5120/1749-2383

M.M.Patil, A.R.Yardi . VBM based MR Imaging Volumetric Analysis of AD and MCI. International Journal of Computer Applications. 13, 2 ( January 2011), 42-45. DOI=10.5120/1749-2383

@article{ 10.5120/1749-2383,
author = { M.M.Patil, A.R.Yardi },
title = { VBM based MR Imaging Volumetric Analysis of AD and MCI },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 2 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number2/1749-2383/ },
doi = { 10.5120/1749-2383 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:45.298853+05:30
%A M.M.Patil
%A A.R.Yardi
%T VBM based MR Imaging Volumetric Analysis of AD and MCI
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 2
%P 42-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voxel-based morphometry is a method for detecting group differences in the density or volume of brain matter. The authors reviewed the literature on use of voxel-based morphometry in brain MRI imaging research to examine the capabilities of this method for clearly identifying specific differences in patients with MCI and AD (and compared with healthy subjects). A technique of segmenting human brain MRI image into total gray matter (GM) and total white matter (WM) - Voxel-based morphometry (VBM) was performed using VBM 5.1 toolbox and SPM5 in a Matlab environment. Images from (ADNI database) 15 AD and 15 MCI were used for investigation. The analysis revealed significant gray matter, white matter and CSF volume loss in the AD as compared with MCI patients. Quantitative analysis of %GM and %WM volumes can help in distinguishing atrophy of AD patterns from characteristics of the MCI.

References
  1. U.S. National Institute of Health, http://www.nia.nih.gov/Alzheimers/
  2. Ministry of Health, Labour and Welfare in Japan, http://www.mhlw.go.jp/index.html
  3. Colliot, O.; Chételat, G.; Chupin, M.; Desgranges, B.; Magnin, B.; Benali, H.; Dubois, B.; Garnero, L.; Eustache, F.; Lehéricy, S. Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus. Radiology 2008, 248, 194-201.
  4. Arimura, H.; Yoshiura, T.; Kumazawa, S.; Tanaka, K.; Koga, H.; Mihara, F.; Honda, H.; Sakai, S.; Toyofuku, F.; Higashida, Y. Automated method for identification of patients with Alzheimer’s disease based on three-dimensional MR images. Academic Radiology 2008, 15, 274–284.
  5. Kantarci K. Magnetic resonance markers for early diagnosis and progression of Alzheimer's disease. Expert Rev Neurother. Sep 2005;5(5):663-670
  6. Daniel Mietchen and Christian Gaser; Computational morphometry for detecting changes in brain structure due to development, aging, learning,disease and evolution; Frontiers in Neuroinformatics www.frontiersin.org August 2009 | Volume 3 | Article 25 .
  7. Simon S. Keller1 & Neil Roberts2, Measurement of brain volume using MRI:software, techniques, choices and prerequisites, Journal of Anthropological Sciences the JASs is published by the Istituto Italiano di Antropologia www.isita-org.com Vol. 87 (2009), pp. 127-151
  8. Robyn Honea, B.Sc. Tim J. Crow, M.B., Ph.D.,Dick Passingham, Ph.D.Clare E. Mackay, Ph.D.,Regional Deficits in Brain Volume in Schizophrenia:A Meta-Analysis of Voxel-Based Morphometry Studies, Am J Psychiatry 2005; 162:2233–2245
  9. Hidetaka Arimura, Taiki Magome , Yasuo Yamashita and Daisuke Yamamoto2, Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images, www.mdpi.com/journal/algorithms Algorithms 2009, 2, 925-952; doi:10.3390/a2030925
  10. Thomas Bittera, Johanna Brüderlea, Hilmar Gudziola, Hartmut Peter Burmeisterb,Christian Gaserc, Orlando Guntinas-Lichius, Gray and white matter reduction in hyposmic subjects — A voxel-based morphometry study, 2010 Elsevier B.V. doi:10.1016/j.brainres.2010.06.003
  11. R.S. Desikan, H.J. Cabral,B. Fischl,C.R.G. Guttmann,D. Blacker,B.T. Hyman, M.S. Albert,R.J. Killiany, Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease, AJNR Am J Neuroradiol 30:532–38 _ Mar 2009 _ www.ajnr.org
  12. Badreddine Bencherif, MD; Martin J. Stumpf, MA; Jonathan M. Links, PhD; and James J. Frost, MD, PhD, Application of MRI-Based Partial-Volume Correction to the Analysis of PET Images of _-Opioid Receptors Using Statistical Parametric Mapping, THE JOURNAL OF NUCLEAR MEDICINE • Vol. 45 • No. 3 • March 2004,402-408
Index Terms

Computer Science
Information Sciences

Keywords

Neurodegeneration Dementia diagnosis brain MRI analysis volumetric analysis