Abstract
Today, high-resolution MRI scans are able to reveal even the fine details of brain structure. Several methods have been developed to quantify shape differences specific to scans of diseased brains. We have developed a novel method for quantifying shape information based on multidimensional scaling (MDS), a well-known statistical tool. Multidimensional scaling uses distance measures computed from pair-wise image registration of the training set. Image registration establishes spatial correspondence between scans in order to compare them in the same spatial framework. Our novel method has several advantages, including robustness to errors in registrations. Applying our method to 44 brain MRIs showed clear separation between normal and Alzheimer scans. Using our method as basis for classification between normal and Alzheimer scans yielded better performance results compared with using the volume of hippocampus as basis for classification. We also devised a simple measure derived from the MDS approach that was shown to correlate with the Mini Mental State Examination (MMSE), a well-known cognitive test for Alzheimer's disease.
| Original language | English |
|---|---|
| Pages (from-to) | 380-385 |
| Number of pages | 6 |
| Journal | Journal of Neuroscience Methods |
| Volume | 194 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2011 Jan 15 |
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All Science Journal Classification (ASJC) codes
- Neuroscience(all)
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Application of multidimensional scaling to quantify shape in Alzheimer's disease and its correlation with Mini Mental State Examination : A feasibility study. / Park, Hyunjin; Seo, Jongbum.
In: Journal of Neuroscience Methods, Vol. 194, No. 2, 15.01.2011, p. 380-385.Research output: Contribution to journal › Article
TY - JOUR
T1 - Application of multidimensional scaling to quantify shape in Alzheimer's disease and its correlation with Mini Mental State Examination
T2 - A feasibility study
AU - Park, Hyunjin
AU - Seo, Jongbum
PY - 2011/1/15
Y1 - 2011/1/15
N2 - Today, high-resolution MRI scans are able to reveal even the fine details of brain structure. Several methods have been developed to quantify shape differences specific to scans of diseased brains. We have developed a novel method for quantifying shape information based on multidimensional scaling (MDS), a well-known statistical tool. Multidimensional scaling uses distance measures computed from pair-wise image registration of the training set. Image registration establishes spatial correspondence between scans in order to compare them in the same spatial framework. Our novel method has several advantages, including robustness to errors in registrations. Applying our method to 44 brain MRIs showed clear separation between normal and Alzheimer scans. Using our method as basis for classification between normal and Alzheimer scans yielded better performance results compared with using the volume of hippocampus as basis for classification. We also devised a simple measure derived from the MDS approach that was shown to correlate with the Mini Mental State Examination (MMSE), a well-known cognitive test for Alzheimer's disease.
AB - Today, high-resolution MRI scans are able to reveal even the fine details of brain structure. Several methods have been developed to quantify shape differences specific to scans of diseased brains. We have developed a novel method for quantifying shape information based on multidimensional scaling (MDS), a well-known statistical tool. Multidimensional scaling uses distance measures computed from pair-wise image registration of the training set. Image registration establishes spatial correspondence between scans in order to compare them in the same spatial framework. Our novel method has several advantages, including robustness to errors in registrations. Applying our method to 44 brain MRIs showed clear separation between normal and Alzheimer scans. Using our method as basis for classification between normal and Alzheimer scans yielded better performance results compared with using the volume of hippocampus as basis for classification. We also devised a simple measure derived from the MDS approach that was shown to correlate with the Mini Mental State Examination (MMSE), a well-known cognitive test for Alzheimer's disease.
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UR - http://www.scopus.com/inward/citedby.url?scp=78650509592&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2010.10.019
DO - 10.1016/j.jneumeth.2010.10.019
M3 - Article
C2 - 21074558
AN - SCOPUS:78650509592
VL - 194
SP - 380
EP - 385
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
SN - 0165-0270
IS - 2
ER -