https://orcid.org/0000-0002-1850-2522
Overview
- Our QIAL lab advances quantitative imaging by designing novel CT systems, reconstruction algorithms, image analysis and applications, with a core strength in preclinical CT.
- Current efforts center on spectral CT (dual-energy and photon-counting) with nanoparticle contrast agents for theranostics, multidimensional CT for challenging applications such as intracranial aneurysm, cardiac, and perfusion imaging, and modern reconstruction and image processing ( including deep learning).
- In parallel, we lead co-clinical cancer imaging work; I served as PI of the U24 Duke Preclinical Research Resources for Quantitative Imaging Biomarkers within the NCI Co-Clinical Imaging Research Program (CIRP).
- We are also building a virtual preclinical photon-counting CT platform for cancer studies to accelerate method development and translation.
Current Appointments & Affiliations
Professor in Radiology
·
2021 - Present
Radiology,
Clinical Science Departments
Research Professor of Biomedical Engineering
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2023 - Present
Biomedical Engineering,
Pratt School of Engineering
Member of the Duke Cancer Institute
·
2012 - Present
Duke Cancer Institute,
Institutes and Centers
Recent Publications
Deep Learning Enhanced Virtual Photon-Counting Micro-CT Imaging Platform for Preclinical Cancer Studies
Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · April 2, 2026 The simultaneous multi-energy capability of photon-counting detectors (PCDs) enables CT imaging with multiple contrast agents, which is particularly valuable for preclinical cancer studies such as photon-counting CT (PCCT) imaging of mouse models of head a ... Full text CiteAdvancing deep learning denoising methods with self-supervised training and multi-channel image priors
Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · April 2, 2026 Supervised deep learning methods have saturated nearly every step of medical imaging data acquisition and reconstruction pipelines, complementing older numerical methods and physics-informed prior information with a new generation of data-specific prior in ... Full text CiteInvestigating brain-heart interactions using resting-state fMRI and photon-counting micro-CT in aged APOE mice
Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · April 1, 2026 Understanding the interplay between brain and heart function is critical for mapping systemic aging and risk for neurodegenerative and cardiovascular diseases. We combined resting-state functional MRI (rs-fMRI) and photon-counting computed tomography (PCCT ... Full text CiteRecent Grants
Development of a Virtual Preclinical CT Platform for Advanced Imaging and Theranostics in Head and Neck Cancer Research
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2025 - 2029Detecting Growth of Intracranial Aneurysms Using Non-Invasive Photon Counting CT in a Murine Model.
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2025 - 2029Cardiac photon counting CT and its application in studying interactions between Alzheimer's and heart disease
ResearchPrincipal Investigator · Awarded by National Institute on Aging · 2021 - 2026View All Grants