Early Detection of Amyloid Plaque in Alzheimer's Disease via X-Ray Phase CT

Abstract

In this project, we proposed to develop the imaging method for early detection of amyloid plaque in Alzheimer s disease. As specified in SA#1 and the project timeline, the major tasks of year 1 and year 2 are the construction and optimization of a prototype x-ray phase contrast CT system to carry out the tasks specified in SA#2 and #3. The prototype x-ray phase contrast CT has been built in the PI s Lab with preliminary performance optimization. The major challenge of the project is the fabrication of x-ray gratings at high precision and performance. Enabled by the cutting-edge opto-mechanical equipment and devices at the Nano-Technology Research Center of GaTech (see Fig. 1), we have fabricated the needed x-ray gratings through a trial-and-error process. We have evaluated the spatial resolution and low contrast detectability of the prototype x-ray phase contrast CT using specially designed phantoms. Thus far, under partial support of this award, two journal papers have been published in Medical Physics one of the leading journals in medical imaging, and five papers published in leading international conferences. Overall, the project s progression has been in pace with the project timeline. Specifically, the prototype x-ray phase contrast CT is ready for carrying out the specimen study specified in statement of work (SOW).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA612057

Entities

People

  • Xiangyang Tang

Organizations

  • Emory University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Alzheimer Disease
  • Data Acquisition
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Diseases And Disorders
  • Fabrication
  • Imaging Techniques
  • Mechanical Equipment
  • Optimization
  • Polymerase Chain Reaction
  • Prototypes
  • Tomography
  • X Rays
  • X-Ray Computed Tomography
  • X-Ray Detectors

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.
  • Software Engineering