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Proceedings Paper

Efficient MR-based screening method for Alzheimer's disease
Author(s): Haiying Liu; Toshinori Kato; David Knopman
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Paper Abstract

AD is a neurode generative disease that involves both neurochemistry and functional alterations in the CNS in addition to the morphological changes. To better characterize the disease and to assess the feasibility of achieving the early detection, a streamlined MR protocol was developed for studying the AD patient in terms of morphology, neurochemistry and brain functional activities. The protocol consists of a set of high resolution morphological imaging scans (coronal T2-weighted and FLAIR imaging acquisitions), a MR proton spectroscopy acquisition and a memory functional MRI studies. The overall study time is about 45 min, which is tolerable for AD patient. To collect the brain metabolic information, we used a PRESS sequence (TE equals 31 msec). During memory study, a 5 min long rapid dynamical whole brain imaging using single shot gradient-echo EPI acquisition was performed during a single memory task, which consisted of a 45 sec visual presentation of three geometrical figures. Six subjects from each normal and AD group were studied. The multidimensional data sets obtained contain sufficient information for volumetric measurement of hippocampus and entorhinal cortex, brain metabolite quantification, and assessment for the short- term memory function. Preliminary results suggests that the scheme can help to further classify various memory dementias into different categories.

Paper Details

Date Published: 21 May 2001
PDF: 6 pages
Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); doi: 10.1117/12.428161
Show Author Affiliations
Haiying Liu, Univ. of Minnesota/Twin Cities (United States)
Toshinori Kato, Univ. of Minnesota/Twin Cities (United States)
David Knopman, Univ. of Minnesota/Twin Cities (United States)

Published in SPIE Proceedings Vol. 4321:
Medical Imaging 2001: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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