Efficient MR-based screening method for Alzheimer's disease

Haiying Liu; Toshinori Kato; David Knopman

doi:10.1117/12.428161

21 May 2001 Efficient MR-based screening method for Alzheimer's disease

Haiying Liu, Toshinori Kato, David Knopman

Proceedings Volume 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images; (2001) https://doi.org/10.1117/12.428161
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

Haiying Liu, Toshinori Kato, and David Knopman "Efficient MR-based screening method for Alzheimer's disease", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428161

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