Early Detection of Breast Cancer via Multi-Plane Correlation Breast Imaging
Abstract
One major deficiency of standard mammography that limits its accuracy in detecting breast cancer is the camouflaging effect of overlapping structures in the projection images. To minimize this effect, we proposed Multi-plane Correlation Imaging (MCI) technique. In this technique, multiple radiographic images of the breast are obtained from different angles in rapid succession. Angular information is used to identify and positively reinforce the lesion signals between different projections. In this research work, a theoretical foundation based on mathematical observer model was laid out to model the diagnostic process in MCI. Using this model, a framework was developed to optimize data acquisition in MCI to maximize its diagnostic performance. The framework was then validated using a new CADe processor. Furthermore, it was extended to optimize tomosynthesis and to compare its performance with MCI. The results revealed that the peak performance for MCI at dose levels of single-view mammography was achieved at 15 - 17 projections spanning an angular arc of ~45 deg, the widest angle tested in this study. An average angular separation of ~2.75 deg was found to be optimum. Overall, performance of optimized MCI exceeded that of standard mammography by 18% and that of tomosynthesis by 8%. MCI may thus prove to be potentially more accurate, and cost- and dose- effective breast imaging technique.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2009
- Accession Number
- ADA510135
Entities
People
- Amarpreet S. Chawla
- Ehsan Samei
Organizations
- Duke University