People

Xiaochuan Pan, PhD

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 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 Mar 12; 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

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. 2023 Mar 29.
PMID: 37033460

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

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