An efficient MR based screening method for Alzheimer's disease

H. Liu, T. Kato, D. Knopman

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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 rain, which is tolerable for AD patient. To collect the brain metabolic information, we used a PRESS sequence (TE=31 msec). During memory study, a 5 rain 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 de mentias into different categories.

Original languageEnglish (US)
Pages (from-to)381-386
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2001
EventMedical Imaging 2001: Physiology and Function from Multidimensional Images - Sandiego, CA, United States
Duration: Feb 18 2001Feb 20 2001


  • Alzheimer's disease
  • Atrophy
  • Dementia
  • Diagnosis
  • MR spectroscopy
  • MRI
  • Memory
  • Neurochemistry
  • fMRI

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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