Evaluation of a multi-scale enhancement protocol for digital mammography

Ralf Mekle, Andrew Laine, Suzanne Smith, Cory Singer, Tova Koenigsberg, Marc Brown

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

We have carried out a receiver operating characteristics (ROC) study for the enhancement of mammographic features in digitized mammograms. The study evaluated the benefits of multi-scale enhancement methods in terms of diagnostic performance of radiologists. The enhancement protocol relied on multi-scale expansions and non-linear enhancement functions. Dyadic spline wavelet functions (first derivative of a cubic spline) were used together with a sigmoidal non-linear enhancement function. We designed a computer interface on a softcopy display and performed an ROC study with three radiologists, who specialized in mammography. Clinical cases were obtained from a national mammography database of digitized radiographs prepared by the University of South Florida (USF) and Harvard Medical School. Our study focused on dense mammograms, i.e. mammograms of density 3 and 4 on the American College of Radiology (ACR) breast density rating, which are the most difficult cases in screening, were selected. To compare the performance of radiologists with and without using multi-scale enhancement, two groups of 30 cases each were diagnosed. Each group contained 15 cases of cancerous and 15 cases of normal mammograms. Conventional ROC analysis was applied, and the resulting ROC curves indicated improved diagnostic performance when radiologists used multi-scale non-linear enhancement.

Original languageEnglish (US)
Pages (from-to)1038-1049
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4119
Issue number1
DOIs
StatePublished - Dec 4 2000

Keywords

  • Contrast enhancement
  • Digital mammography
  • ROC analysis
  • Softcopy display
  • Spline wavelets

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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