ArticleIEEE transactions on bio-medical engineering2025
Image Reconstruction of Multiple Basis Materials With Data Augmentation in DECT.
Article in IEEE transactions on bio-medical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A novel projection data domain material decomposition method for dual-energy CT and its impact on the accuracy of attenuation values.Physics in medicine and biology · 2026Article
- Joint Temporal and Spectral Processing for Improved Digital Subtraction Angiography Using Photon-Counting Detectors.IEEE transactions on bio-medical engineering · 2025Article
- Multi-basis-image reconstruction from conventional data acquired in standard CT.Physics in medicine and biology · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
objectiveThe objective of the work is to develop algorithms for accurate and stable reconstruction of multiple basis images and virtual monochromatic images (VMIs) in dual-energy CT (DECT).
methodsThe reconstruction task remains challenging in DECT imaging cases with basis regions containing up to 3 basis materials, because the number of voxel values, i.e., unknowns, within the basis regions can be considerably larger than the number of measurements. We exploit the volume-conservation (VC) constraint to augment data and develop an optimization-based algorithm for accurate and stable reconstruction of multiple basis images and VMIs in the cases.
resultsNumerical studies are conducted involving simulated and real data for the cases with basis regions containing up to 3 basis materials; and the study result reveals that the algorithm developed can accurately and stably reconstruct multiple basis images and VMIs in DECT.
conclusionsThe exploitation of the VC constraint enables the algorithm proposed for accurately and stably reconstructing multiple basis images in DECT. SIGNIFICANCE: The work reveals that it is possible to obtain accurate VMIs and contrast-concentration estimations in DECT with basis regions containing up to 3 basis materials. The algorithm can be extended for obtaining multiple basis images in photon-counting CT and also be applied to dual-energy data collected only over limited-angular range and/or at sparse views.
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