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Diagnosing breast cancer using independent diffuse optical tomography and x-ray mammography scans
- Source :
- SPIE Proceedings.
- Publication Year :
- 2013
- Publisher :
- SPIE, 2013.
-
Abstract
- We have previously demonstrated the utilization of spatially co-registered diffuse optical tomography (DOT) and digital breast tomosynthesis (DBT) for joint breast cancer diagnosis. However, clinical implementation of such a multi-modality approach may require development of integrated DOT/DBT imaging scanners, which can be costly and time-consuming. Exploring effective image registration methods that combine the diagnostic information from a standalone DOT measurement and a separate mammogram can be a cost-effective solution, which may eventually enable adding functional optical assessment to all previously installed digital mammography systems. In this study, we investigate a contour-based image registration method to convert independent optical and x-ray scans into co-registered datasets that can benefit from a joint image analysis. The breast surface used in 3D optical DOT reconstruction is registered with the breast contour line extracted from an x-ray mammogram acquired separately. This allows us to map the 2D mammogram to the optical measurement space and build structural constraints for optical image reconstruction. A non-linear reconstruction utilizing structure-priors is then performed to produce hemoglobin maps with improved resolution. To validate this approach, we used a set of tumor patient measurements with simultaneous DOT/DBT and separate 2D mammographic scans. The images recovered from the registration procedure derived from DOT and 2D mammogram present similar image quality compared to those recovered from co-registered DOT/DBT measurements.
- Subjects :
- Digital mammography
medicine.diagnostic_test
Computer science
Breast imaging
business.industry
Image quality
Image registration
Digital Breast Tomosynthesis
medicine.disease
Diffuse optical imaging
Breast cancer
medicine
Mammography
Computer vision
Artificial intelligence
X ray mammography
business
Image restoration
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........fbc11d2b6dc25a9b6390cff98887a171