| Abstract: |
| Multispectral computed tomography (MSCT) has attracted increasing attention and research interest due to the development of hardware and requirement of applications, as well as its advantages in considering the X-ray energy-dependent information over the conventional CT such as artifact suppression, contrast improvement and object separation. However, accurate and fast image reconstruction in MSCT remains a challenging task, largely because its data model is nonlinear, and the scanning geometry parameters under different X-ray energy spectra are sometimes inconsistent or mismatched. In this talk, we will discuss our recent advances on algorithm and theory for the image reconstruction in geometric-inconsistent MSCT. |
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