Simulation, Measurements and Image Processing for Capillary Optical Digital Mammorgraphy (96 Breast)

Abstract

Capillary optics, which use total external reflection to transmit x rays, have been proved to have great advantages in scatter reduction and resolution improvement in mammography application. The purpose of the proposed work is to perform lens simulation and image artifact elimination as part of the work of capillary optical mammography research. A lens simulation extended from the-previous single fiber simulation has been implemented, a lens for the protocol mammography system has been re-measured in an extended energy range and analyzed with the program. The simulation has been proved to be helpful in understanding the lens performance. Modulation Transfer Function (MTF) is the most fundamental measurement of spatial resolution used in radiology. Non-uniform transmission introduces difficulties in MTF measurement. A method to measure MTF by taking an edge image and processed with background reduction technique has been developed. The modeling capability has been extended and has lead to a real development of understanding of the nature of polycapillary defects, which is already leading to improvements in the manufacturing processes. Further, the increased confidence in the modeling allows future lens geometries to be effectively "tested" in simulation so that design parameters can be rapidly optimized.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA390705

Entities

People

  • Hui Wang

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artifacts
  • Detectors
  • Experimental Data
  • Fibers
  • Geometry
  • High Energy
  • Image Processing
  • Lead Glass
  • Mammography
  • Manufacturing
  • Optics
  • Radiation
  • Reflection
  • Simulations
  • Two Dimensional
  • X Ray Optics
  • X Rays

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.