Early Detection of Breast Cancer via Multiplane Correlation Breast Imaging
Abstract
One of the major deficiencies of standard mammography is the camouflaging effect of overlapping structures in the projection images that limits the rendering of breast cancer. To minimize the effect of this limiting factor, we investigated the feasibility of Multi-plane Correlation Imaging (MCI) technique. In this technique, multiple radiographic images of the breast are obtained from different angles. Angular information is used to identify and positively reinforce the lesion signals between different projections. In the first stage of this study, we investigated the optimal geometry of acquisitions in MCI which yields superior diagnostic information. Towards this end, a LG CHO mathematical observer model was constructed to assess the detectability of a simulated mass embedded in the different angular projections acquired as part of MCI. Detectability performance on various angular projections were combined using three techniques to determine a final figure of merit as a measure of the system's performance. Lastly, different components of acquisitions such as the number of angular projections and the angular span of them were changed to investigate which one of the combinations maximizes the detectability performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2007
- Accession Number
- ADA470997
Entities
People
- Amarpreet Chawla
- Ehsan Samei
Organizations
- Duke University