Soft-compression Mammography Based on Weighted l (1)-norm Scatter Correction Scheme for Reducing Patient Pain during Breast Examination

摘要

In mammography examination, compression of the breast is essential for reducing scattered X-rays and the radiation dose and for preventing motion artifacts, thereby producing optimal diagnostic breast images. However, mechanical compression of the breast often causes discomfort and pain during and after the examination and deters some patients from routine mammography screening. In this study, we propose a novel soft-compression mammography based on a weighted l (1)-norm scatter correction scheme in attempt to overcome these difficulties. We implemented the proposed algorithm and performed a simulation and experiment to demonstrate the feasibility of using the proposed method. According to our results, the structure of the breast phantom was much more clearly visible in the scatter-corrected image than in the original scatter-corrupted image. The contrast-to-noise ratio (CNR) for the scatter-corrected image was about 6.3, about 4.1 times larger than that for the scatter-corrupted image, indicating much improved image visibility. The proposed approach seems very promising for scatter correction in conventional mammography, thus allowing soft-compression breast examination in clinics.