Abstract:
Computer aided detection (CADe) systems often present multiple false-positives per image in projection mammography due to overlapping anatomy. To reduce the number of such false-positives, we propose performing CADe on image pairs acquired using a bi-plane correlation imaging (BCI) technique. In this technique, images are acquired of each breast at two different projection angles. A traditional CADe algorithm operates on each image to identify suspected lesions. The suspicious areas from both projections are then geometrically correlated, eliminating any lesion that is not identified on both views. Proof of concept studies showed that that the BCI technique reduced the numbers of false-positives per case up to 70%. (This work was supported in part by grants from the Department of Defense (USAMRMC W81XWH-04-1-0323), Komen Foundation (PDF55806), NIH (R01-CA-109074 and R01-CA-112437), Cancer Research and Prevention Foundation, and a research agreement with Siemens Medical Solutions.).
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