Design and optimization of a digital radiographic system with emphasis on TDI CCD scanning mammography

Laurence E. Court, Ian Ho, Robert D. Speller, A. Martinex-Davalos, D. J. Miller, Gordon R. Hopkinson, Michael A. Cutter, Brian P. Allen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper describes the requirements and constraints involved in the design of a digital scanning mammography system. The SNR model of Muntz is used to assess the influence of detector size and detected scatter-to-primary ratio on the detectability of microcalcifications in a breast phantom, and hence to consider the design of an optimized system. The effects of patient dose, exposure time and various technological constraints, such as x-ray tube power limits, maximum scanning speed and system MTF, are also discussed. It is demonstrated that the combined use of an air gap between the patient and the detector and a wider scanning slot can give the same scatter-to-primary ratio as a significantly smaller slot, while reducing the x-ray tube load. It is also demonstrated that, to some extent, the tube power constraints can be overcome by using higher kVp, less added filtration and a smaller source to patient distance.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsRodney Shaw
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages298-309
Number of pages12
ISBN (Print)0819414581
StatePublished - 1994
Externally publishedYes
EventMedical Imaging 1994: Physics of Medical Imaging - Newport Beach, CA, USA
Duration: Feb 13 1994Feb 14 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2163
ISSN (Print)0277-786X

Other

OtherMedical Imaging 1994: Physics of Medical Imaging
CityNewport Beach, CA, USA
Period2/13/942/14/94

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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