Contrast-enhanced spectral mammography with a photon-counting detector
2010 (English)In: Medical physics (Lancaster), ISSN 0094-2405, Vol. 37, no 5, 2017-2029 p.Article in journal (Refereed) Published
Purpose: Spectral imaging is a method in medical x-ray imaging to extract information about the object constituents by the material-specific energy dependence of x-ray attenuation. In particular, the detectability of a contrast agent can be improved over a lumpy background. We have investigated a photon-counting spectral imaging system with two energy bins for contrast-enhanced mammography. System optimization and the potential benefit compared to conventional non-energy-resolved imaging was studied.
Methods: A framework for system characterization was set up that included quantum and anatomical noise, and a theoretical model of the system was benchmarked to phantom measurements.
Results: It was found that optimal combination of the energy-resolved images corresponded approximately to minimization of the anatomical noise, and an ideal-observer detectability index could be improved more than a factor of two compared to absorption imaging in the phantom study. In the clinical case, an improvement close to 80% was predicted for an average glandularity breast, and a factor of eight for dense breast tissue. Another 70% was found to be within reach for an optimized system.
Conclusions: Contrast-enhanced spectral mammography is feasible and beneficial with the current system, and there is room for additional improvements.
Place, publisher, year, edition, pages
2010. Vol. 37, no 5, 2017-2029 p.
spectral imaging, mammography, contrast agent, photon counting, dual-energy subtraction, energy weighting, anatomical noise
Other Engineering and Technologies not elsewhere specified Computer Vision and Robotics (Autonomous Systems) Radiology, Nuclear Medicine and Medical Imaging Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:kth:diva-11637DOI: 10.1118/1.3371689ISI: 000277242800009ScopusID: 2-s2.0-77952404690OAI: oai:DiVA.org:kth-11637DiVA: diva2:278575
FunderEU, European Research Council, LSHCCT2007-037642
QC 20100714 ändrad från submitted till published 201101032009-11-272009-11-272011-01-03Bibliographically approved