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[P‐108]: Successful AD and MCI differentiation from normal aging via automated analysis of MR image features
Author(s) -
Duchesne Simon,
Pruessner Jens C.,
Teipel Stefan,
Hampel Harald,
Collins D. Louis
Publication year - 2005
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2005.06.182
Subject(s) - voxel , intensity (physics) , dementia , medicine , clinical dementia rating , nuclear medicine , sagittal plane , psychology , pathology , radiology , disease , physics , quantum mechanics
slice thickness 2mm, 860 m pixel-size, for a total imaging time of 6 minutes for four images. Each pixel’s signal intensity was fitted as a function of TSL by a linear least-squares algorithm to generate T1 maps. A region of interest was manually selected in the parenchyma in the right medial temporal lobe and average T1 values recorded. A student’s t-test was performed to determine any significance in the difference in T1 values between groups. Conclusions: Average T1 for the AD group was 95.3 1.4ms (mean std. error) and for controls was 87.5 1.7ms and the difference was statistically significant (p 0.005). Typical T1 MR images (grayscale images) and corresponding T1 maps (color images) are shownin the figure. This is the first demonstration of imaging AD pathology in humans using T1 imaging. Our results indicate that clinically-confirmed AD results in the prolongation of T1 relaxation time in brain tissue.