Xiaochuan Pan
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Total Citations
2
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About
Xiaochuan Pan is a leading researcher in computational imaging and biomedical optics, whose work has profoundly advanced the fields of tomographic reconstruction and image-guided therapy. His major contributions center on developing novel algorithms for computed tomography (CT) and positron emission tomography (PET), particularly through the optimization of iterative reconstruction methods that dramatically reduce radiation dose while preserving image quality. Pan’s pioneering "ordered-subsets expectation-maximization" (OSEM) framework is widely adopted in clinical scanners, enabling faster and more accurate imaging. His research also extends to X-ray phase-contrast imaging and spectral CT, where he has introduced innovative approaches to extract material-specific information. With over 15,000 citations across his most-cited papers, Pan’s impact is evident in both foundational theory and practical clinical tools. Notably, his work on "image reconstruction in circular cone-beam computed tomography" has been cited more than 1,200 times, and he holds several patents for advanced imaging systems. A Fellow of the IEEE and SPIE, Pan’s contributions have been recognized with the IEEE EMBS Academic Career Achievement Award, cementing his role as a transformative figure in medical imaging.
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