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Detection of Simulated Lesions on Data-compressed Digital Mammograms¹

¹ From the Department of Radiology, Emory University School of Medicine, Winship Cancer Institute, 1701 Uppergate Dr, Bldg C, Suite 5018, Atlanta, GA 30322 (S.S., A.K., S. V., S.M.W., C.J.D.); and the Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Ga (S.S., A.K.). Received April 23, 2004; revision requested July 8; revision received August 13; accepted November 8. Supported in part by National Institutes of Health grants RO1-CA88792 from the National Cancer Institute and RO1-EB002123 from the National Institute of Biomedical Imaging and Bioengineering and by a Georgia Cancer Coalition infrastructure grant from the Cancer Scholars Program. Address correspondence to A.K. (e-mail: akarell{at}emory.edu).

View larger version (160K): [in a new window]   Figure 1. Sample image of the 6-mm simulated mass embedded in a digital mammographic background. The amplitude of the mass has been scaled for visualization purposes.

View larger version (152K): [in a new window]   Figure 2. Sample image of the hybrid extracted and simulated microcalcification cluster embedded in a digital mammographic background. The amplitude of the microcalcification cluster has been scaled for visualization purposes.

View larger version (34K): [in a new window]   Figure 3a. Graphs show mean Az values (± standard errors) for human observers and two numeric observer models for (a) 3-mm, (b) 6-mm, and (c) 8-mm masses with the compression conditions investigated in this study. Detection of masses was not affected by the image compression ratio, but detection of microcalcifications was decreased at compression ratios of more than 15:1. There was good agreement in detection trends between the numeric observer models and the human observers.

View larger version (32K): [in a new window]   Figure 3b. Graphs show mean Az values (± standard errors) for human observers and two numeric observer models for (a) 3-mm, (b) 6-mm, and (c) 8-mm masses with the compression conditions investigated in this study. Detection of masses was not affected by the image compression ratio, but detection of microcalcifications was decreased at compression ratios of more than 15:1. There was good agreement in detection trends between the numeric observer models and the human observers.

View larger version (33K): [in a new window]   Figure 3c. Graphs show mean Az values (± standard errors) for human observers and two numeric observer models for (a) 3-mm, (b) 6-mm, and (c) 8-mm masses with the compression conditions investigated in this study. Detection of masses was not affected by the image compression ratio, but detection of microcalcifications was decreased at compression ratios of more than 15:1. There was good agreement in detection trends between the numeric observer models and the human observers.