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.
Multi-basis-image reconstruction from conventional data acquired in standard CT.
Multi-basis-image reconstruction from conventional data acquired in standard CT. Phys Med Biol. 2025 May 22; 70(11).
PMID: 40354817
Accurate volume image reconstruction for digital breast tomosynthesis with directional-gradient and pixel sparsity regularization.
Accurate volume image reconstruction for digital breast tomosynthesis with directional-gradient and pixel sparsity regularization. J Med Imaging (Bellingham). 2025 Jan; 12(Suppl 1):S13013.
PMID: 40060161
Accurate image reconstruction within and beyond the field-of-view of CT system from data with truncation.
Accurate image reconstruction within and beyond the field-of-view of CT system from data with truncation. Phys Med Biol. 2025 Jan 27; 70(3).
PMID: 39778342
Non-unique water and contrast agent solutions in dual-energy CT.
Non-unique water and contrast agent solutions in dual-energy CT. ArXiv. 2024 Nov 19.
PMID: 39606724
A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis.
A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis. ArXiv. 2024 Jun 11.
PMID: 38947918
Accurate reconstruction of 4D spectral-spatial images from sparse-view data in continuous-wave EPRI.
Accurate reconstruction of 4D spectral-spatial images from sparse-view data in continuous-wave EPRI. J Magn Reson. 2024 Apr; 361:107654.
PMID: 38492546
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization.
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization. ArXiv. 2024 Feb 09.
PMID: 37033460
Prototyping optimization-based image reconstructions from limited-angular-range data in dual-energy CT.
Prototyping optimization-based image reconstructions from limited-angular-range data in dual-energy CT. Med Image Anal. 2024 Jan; 91:103025.
PMID: 37976869
4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging.
4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging. J Magn Reson. 2023 May; 350:107432.
PMID: 37058955
Report on the AAPM deep-learning spectral CT Grand Challenge.
Report on the AAPM deep-learning spectral CT Grand Challenge. Med Phys. 2024 Feb; 51(2):772-785.
PMID: 36938878