Evidence Based Detection of Spiculated Lesions and Architectural Distortions

DISTORTIONS Mehul Sampat, Mia Markey, Alan Bovik The University of Texas at Austin e-mail: [email protected] Screening mammography, x-ray imaging of the breast, is currently the most effective tool for early detection of breast cancer. However mammography is not perfect. Detection of suspicious abnormalities is a repetitive, fatiguing and extremely difficult task for radiologists. A number of computer-aided detection (CAD) systems have been developed to aid radiologists to detect the common signs of breast cancer. However these systems have much higher detection accuracy for calcifications than for masses or architectural distortions. Thus, there is a need for improvement in the detection of these abnormalities. In this work we present a new technique for the detection of spiculated masses (SM) and architectural distortions (AD).