Research of Professor Pan’s lab centers on physics, algorithms, and engineering underpinning tomographic imaging and its biomedical and clinical applications. Dr. Pan and his lab conduct research on advanced theory and algorithms for conventional and spectral computed tomography (CT), positron emission tomography (PET), single-photo-emission computed tomography (SPECT), and tomosynthesis especially digital breast tomosynthesis (DBT) and digital lung tomosynthesis (DLT), supported by grants from federal funding agencies such as NIH and DOD, from state funding agencies, from foundations, and from industry. In collaborating with leading researchers in the field, he and his team have worked on magnetic resonance imaging (MRI) and have also investigated emerging imaging techniques, including electron-paramagnetic resonance imaging (EPRI), phase-contrast CT, and photo-acoustic tomography (PAT), among others. In recent years, he and his team have developed programs that translate theoretical concepts and methods to biomedical application work that includes developing innovative hardware systems and workflows, enabled by advanced algorithms, with a strong emphasis on the relevance and impact of imaging technological solutions tailored to specific applications of biomedical and/or clinical significance. Dr. Pan's lab has established continuous, close clinical and industrial collaboration. Dr. Pan is a Fellow of AAPM, AIMBE, IAMBE, IEEE, OSA, and SPIE.
Accurate Image Reconstruction in Dual-Energy CT with Limited-Angular-Range Data Using a Two-Step Method.
Accurate Image Reconstruction in Dual-Energy CT with Limited-Angular-Range Data Using a Two-Step Method. Bioengineering (Basel). 2022 Dec 06; 9(12).
PMID: 36550981
Spectral calibration of photon-counting detectors at high photon flux.
Spectral calibration of photon-counting detectors at high photon flux. Med Phys. 2022 Oct; 49(10):6368-6383.
PMID: 35975670
Report on the AAPM deep-learning sparse-view CT grand challenge.
Report on the AAPM deep-learning sparse-view CT grand challenge. Med Phys. 2022 Aug; 49(8):4935-4943.
PMID: 35083750
Image reconstruction from data over two orthogonal arcs of limited-angular ranges.
Image reconstruction from data over two orthogonal arcs of limited-angular ranges. Med Phys. 2022 Mar; 49(3):1468-1480.
PMID: 35020215
Dual-energy CT imaging with limited-angular-range data.
Dual-energy CT imaging with limited-angular-range data. Phys Med Biol. 2021 09 17; 66(18).
PMID: 34320478
High-Resolution Full-3D Specimen Imaging for Lumpectomy Margin Assessment in Breast Cancer.
High-Resolution Full-3D Specimen Imaging for Lumpectomy Margin Assessment in Breast Cancer. Ann Surg Oncol. 2021 Oct; 28(10):5513-5524.
PMID: 34333705
A signal detection model for quantifying overregularization in nonlinear image reconstruction.
A signal detection model for quantifying overregularization in nonlinear image reconstruction. Med Phys. 2021 Oct; 48(10):6312-6323.
PMID: 34169538
Directional-TV algorithm for image reconstruction from limited-angular-range data.
Directional-TV algorithm for image reconstruction from limited-angular-range data. Med Image Anal. 2021 05; 70:102030.
PMID: 33752167
Dual-energy CT imaging over non-overlapping, orthogonal arcs of limited-angular ranges.
Dual-energy CT imaging over non-overlapping, orthogonal arcs of limited-angular ranges. J Xray Sci Technol. 2021; 29(6):975-985.
PMID: 34569984
Non-convex primal-dual algorithm for image reconstruction in spectral CT.
Non-convex primal-dual algorithm for image reconstruction in spectral CT. Comput Med Imaging Graph. 2021 01; 87:101821.
PMID: 33373973