Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical trial.

Mark Ruschin, Anders Tingberg, M Båth, Anna Grahn, M Håkansson, Bengt Hemdal, I Andersson

Research output: Contribution to journalArticlepeer-review

Abstract

In this study a set of structures has been simulated to represent a range of clinically relevant breast cancer mammographic lesions including solid tumours and microcalcifications. All structures have been created using simple random-based mathematical functions and have been inserted into a subset of digital mammography images at appropriate contrast levels into various regions of the breast, including dense fibroglandular and adipose tissue. These structures and their appearance in these clinical images were evaluated in terms of how realistic they looked. They will be used as the input to a large-scale clinical trial designed to examine the effect of significant dose reduction in digital mammography by comparing the detectability of such structures in images acquired at full and quarter automatic exposure control (AEC) dose level and in images with simulated noise levels in between
Original languageEnglish
Pages (from-to)424-431
JournalRadiation Protection Dosimetry
Volume114
Issue number1-3
DOIs
Publication statusPublished - 2005
EventSecond Malmo Conference on Medical X-Ray Imaging - Malmo, Sweden
Duration: 2004 Apr 25 → …

Subject classification (UKÄ)

  • Radiology, Nuclear Medicine and Medical Imaging

Free keywords

  • adipose tissue
  • contrast level
  • fibroglandular tissue
  • random-based mathematical function
  • microcalcification
  • solid tumour
  • breast cancer mammographic lesion
  • pathological structure
  • digital mammography
  • noise level
  • automatic exposure control dose level
  • dose reduction
  • image acquisition

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