Breast cancer is the most common form of cancer in the female population and represents the principal cause of cancer mortality in women worldwide. Around the world, every 19 seconds a woman is diagnosed with breast cancer and also, a woman dies from breast cancer every 74 seconds. Thus, further research, based on early detection, is necessary to reduce its high impact on the population.
Breast cancer screening programs (BSPs) is the current approach used to find early cancer signs in an asymptomatic target population. Screening population is invited to have regular mammograms (MG). However, digital breast tomosynthesis (DBT) has shown potential to be the future imaging technique for BSPs. DBT setup is similar to MG, however, DBT images are generated from several low-dose image projections at different angles, producing pseudo-3D images of the breast.
The SCARtool project investigates algorithms to improve image quality in DBT. The algorithms developed within the project have the aim to reduce scattered radiation in the DBT images, a type of radiation which might affect lesion detectability. Therefore, SCARtool's main goal is to improve early detection of breast cancer signs via DBT imaging.