Computer-aided detection of masses in mammography using a Laguerre-Gauss channelized hotelling observer

Alan H. Baydush; David Mark Catarious Jr.; Carey E. Floyd Jr.

doi:10.1117/12.480070

22 May 2003 Computer-aided detection of masses in mammography using a Laguerre-Gauss channelized hotelling observer

Alan H. Baydush, David Mark Catarious Jr., Carey E. Floyd Jr.

Author Affiliations +

Proceedings Volume 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment; (2003) https://doi.org/10.1117/12.480070
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Alan H. Baydush, David Mark Catarious Jr., and Carey E. Floyd Jr. "Computer-aided detection of masses in mammography using a Laguerre-Gauss channelized hotelling observer", Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); https://doi.org/10.1117/12.480070

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