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A technique called disparity mapping (DM) processes pairs of ultrasound B-scan images collected while a sonographer varies the probe pressure slightly on the breast surface. Dm measures the apparent displacement of the tissue about each image point and subsequently constructs a correlation map which represents the similarity between the speckle patterns around each point. The continuity of the lesion perimeter in the correlation image is used to separate benign from malignant lesions, with high continuity corresponding well with benign lesions and highly segmented perimeters correlating with malignancies. Twenty five solid masses were evaluated, and the results were compared with histology from core or surgical biopsy, or with cytology from fine needle aspiration. The results analyzed all lesions correctly (15 cancers and 10 benign lesions). There were no false positives or false negatives. The results suggest that DM may be a useful tool in digitally diagnosing breast lesions and consequently in reducing the number of unnecessary biopsies.
Bernard D. Steinberg,Donald L. Carlson, andJulia A. Birnbaum
"Discrimination between benign and malignant lesions of the breast using ultrasound disparity mapping", Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428191
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Bernard D. Steinberg, Donald L. Carlson, Julia A. Birnbaum, "Discrimination between benign and malignant lesions of the breast using ultrasound disparity mapping," Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428191