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Proceedings Paper

Computer-aided detection of masses in mammography using a Laguerre-Gauss channelized hotelling observer
Author(s): Alan H. Baydush; David Mark Catarious; Carey E. Floyd
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Paper Abstract

We propose to investigate the use of a Laguerre-Gauss Channelized Hotelling Observer (LG-CHO) for the basis of a computer aided detection scheme for masses in mammography. A database of 1320 regions of interest was selected from the DDSM database collected by the University of South Florida. The breakdown of the cases was: 656 normals, 307 benigns, and 357 cancers. For the detection task, cancer and benign cases were considered positive and normal was considered negative. A 25 channel LG-CHO was designed to best classify regions as containing a mass or not. Application of this LG-CHO to the database gave a ROC area under the curve of 0.936 and a partial area of 0.648. Additionally, at 98% sensitivity the classifier had a specificity of 44.8% and a positive predictive value of 64.2%. Preliminary results suggest that using a LG-CHO can provide a strong backbone for a CAD scheme to help radiologists with detection. These initial results should be able to be incorporated into a larger CAD system for higher performance either as a false positive reduction scheme or as an initial filter used for mass detection.

Paper Details

Date Published: 22 May 2003
PDF: 6 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480070
Show Author Affiliations
Alan H. Baydush, Duke Univ. Medical Ctr. (United States)
Duke Univ. (United States)
David Mark Catarious, Duke Univ. (United States)
Carey E. Floyd, Duke Univ. (United States)
Duke Univ. Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, Editor(s)

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