Evaluation of TR-MUSIC algorithm efficiency in detecting breast microcalcifications

Early detection is key to surviving breast cancer. The earliest indication of potential breast cancer detectable by current screening methods is the presence of microcalcifications. The low efficiency of ultrasound in detecting these microcalcifications is due to several factors, including the low spatial resolution of the ultrasound images and the speckle noise, which masks the tiny microcalcifications. This paper aims to investigate the efficiency of the time reversal multiple signal classification algorithm in detecting breast microcalcifications. Experiments were performed on numerical phantoms, and results show that the TR-MUSIC algorithm efficiency depends on several parameters.