Measuring Glial Metabolism in Repetitive Brain Trauma and Alzheimer's Disease

Abstract

The most significant finding in this report was the application of denoising methods to multinuclear spectroscopy data which showed greatly improved signal-to-noise ratios of up to3.4 times that of the original data. Six methods: Single value decomposition (SVD), wavelet,sliding window, sliding window with Gaussian weighting, spline and spectral improvements with Fourier thresholding were tested to determine which provided optimal performance. The sliding window with Gaussian weighting showed the most consistent performance across alllevels of SNR with the best performance using spline and unweighted sliding window at low SNRdata. This analysis will be incorporated into our post-processing pipeline for the 13C spectroscopy data that will be acquired in this study after human subjects approval.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1034285

Entities

People

  • Alexander Lin

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Alzheimer Disease
  • Brain Injuries
  • Chronic Encephalopathy
  • Data Analysis
  • Department Of Defense
  • Diseases And Disorders
  • Health Services
  • Magnetic Resonance
  • Medical Personnel
  • Metabolism
  • Neurodegeneration
  • Professional Development
  • Spectroscopy
  • Technology Transfer
  • United States

Readers

  • Approximation Theory.
  • Medical Imaging.
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.