
Proceedings Paper
Evaluation of a multiscale enhancement protocol for digital mammographyFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper 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.
Paper Details
Date Published: 4 December 2000
PDF: 12 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408591
Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)
PDF: 12 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408591
Show Author Affiliations
Ralf Mekle, Columbia Univ. (United States)
Andrew F. Laine, Columbia Univ. and Columbia-Presbyterian Medical Ctr. (United States)
Suzanne Smith, Columbia-Presbyterian Medical Ctr. (United States)
Andrew F. Laine, Columbia Univ. and Columbia-Presbyterian Medical Ctr. (United States)
Suzanne Smith, Columbia-Presbyterian Medical Ctr. (United States)
Cory Singer, Columbia-Presbyterian Medical Ctr. (United States)
Tova Koenigsberg, Columbia-Presbyterian Medical Ctr. (United States)
Marc Brown, Columbia-Presbyterian Medical Ctr. (United States)
Tova Koenigsberg, Columbia-Presbyterian Medical Ctr. (United States)
Marc Brown, Columbia-Presbyterian Medical Ctr. (United States)
Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)
© SPIE. Terms of Use
