Interactive Intensity Thresholding Based Breast Density Assessment in Sequential MR Examinations

Sadie Nicola Reed¹, Gokhan Ertas¹, Martin O. Leach¹

Breast density has been shown to be a strong risk factor for breast cancer. MR imaging allows direct volume estimation of the fibroglandular breast tissues providing an accurate breast density assessment. In this study, we investigate the value of interactive intensity thresholding in the assessment of breast density from sequential MR examinations. The results have shown a good consistency between the left and right breasts and a high level of reproducibility for sequential patient visits. The ability of the technique to highlight variations from normal breast development in sequential images could give valuable information in assessment of breast cancer risk.