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Evaluation of a multi-scale enhancement protocol for digital mammography

Ralf Mekle; Andrew F. Laine; Suzanne Smith; Cory Singer; Tova Koenigsberg; Marc Brown

Title:
Evaluation of a multi-scale enhancement protocol for digital mammography
Author(s):
Mekle, Ralf
Laine, Andrew F.
Smith, Suzanne
Singer, Cory
Koenigsberg, Tova
Brown, Marc
Date:
Type:
Articles
Department:
Biomedical Engineering
Permanent URL:
Book/Journal Title:
Wavelet applications in signal and image processing VIII : 31 July-4 August 2000, San Diego, USA ; Proceedings of SPIE, vol. 4119
Book Author:
Aldroubi, Akram
Publisher:
SPIE
Publisher Location:
Bellingham, Wash.
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 were used together with a sigmoidal non-linear enhancement function. We designed a computer interface ona 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 and Harvard Medical School. Our study focused on dense mammograms, i.e. mammograms of density 3 and 4 on the American College of Radiology breast density rating, which are the most difficult cases in screening, were selected. To compare the performance of radiologists with an 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.
Subject(s):
Biomedical engineering
Publisher DOI:
10.1117/12.408591
Item views:
144
Metadata:
text | xml

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