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Publications

Selected papers

  • Xieraili Wumener, Yarong Zhang, Zihan Zang, Fen Du, Xiaoxing Ye, Maoqun Zhang, Ming Liu, Jiuhui Zhao, Sun T, Ying Liang; The value of dynamic FDG PET/CT in the differential diagnosis of lung cancer and predicting EGFR mutations. BMC Pulmonary medicine, 2024, online.

  • Wu Y, Sun T, Ng Y, Liu J, Zhu X, Cheng Z, Xu B, Meng N, Zhou Y, Wang M. Clinical Implementation of Total-Body PET in China. Journal of Nuclear Medicine, 2024, online.

  • Sun T, Chen R, Liu J, Zhou Y. Current progress and future perspectives in total‐body positron emission tomography/computed tomography. Part I: Data processing and analysis. iRadiology, 2024, online.

  • Chen R, Sun T, Huang G, Zhou Y, Liu J. Current progress and future perspectives in total‐body positron emission tomography/computed tomography. Part II: Clinical applications. iRadiology, 2024, online.

  • Wang Z, Wu Y, Xia Z, Chen X, Li X, Bai Y, Zhou Y, Liang D, Zheng H, Yang Y, Wang S, Wang M, Sun T, "Non-invasive quantification of the brain [18F]FDG-PET using inferred blood input function learned from total-body data with physical constraint", IEEE Transactions on Medical Imaging, 2024, online.

  • Zhao R, Xia Z, Miao K, Lv J, Zhong H, He Y, Gu D, Liu Y, Zeng G, Zhu L, Alexoff D, Kung H, Wang X, Sun T, "Determining the optimal pharmacokinetic modelling and simplified quantification method of [18F]AlF-P16-093 for patients with primary prostate cancer (PPCa)", European Journal of Nuclear Medicine and Molecular Imaging, 2024, online.

  • Du F, Wumener X, Zhang Y, Zhang M, Zhao J, Zhou J, Li Y, Huang B, Wu R, Xia Z, Yao Z, Sun T, Liang Y. Clinical feasibility study of early 30-minute dynamic FDG-PET scanning protocol for patients with lung lesions. EJNMMI Physics. 2024;11(1):23.

  • Wu Y, Fu F, Meng N, Wang Z, Li X, Bai Y, Zhou Y, Liang D, Zheng H, Yang Y, Wang M, Sun T, "The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions," Cancer Imaging, 2024, 24(2).

  • Ding J, Shen CS, Wang ZG, Yang YF, El Fakhri G, Lu J, Liang D, Zheng HR, Zhou Y, Sun T, “Tau-PET abnormality as a biomarker for Alzheimer’s disease staging and early detection: a topological perspective”, Cerebral Cortex, 2023, 33(20):10649-10659.

  • Wumener X, Zhang Y, Wang Z, Zhang M, Zang Z, Huang B, Liu M, Huang S, Huang Y, Wang P, Liang Y, Sun T. ““Dynamic FDG-PET imaging for differentiating metastatic from nonmetastatic lymph nodes of lung cancer”, Frontiers in Oncology, 2022, 12:1005924.

  • Sun T, Wu Y, Wei W, Fu F, Meng N, Chen H, Li X, Bai Y, Wang Z, Ding J, Hu D, Chen C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, Zhou Y, Wang M. "Motion Correction and its Impact on Quantification in Dynamic Total-body 18F-Fluorodeoxyglucose PET", EJNMMI Physics, 62, 2022.

  • Wang Z, Wu Y, Li X, Bai Y, Chen H, Ding J, Shen C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, Zhou Y, Wang M, Sun T. "Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-body 18F-FDG PET imaging", EJNMMI Physics, 63, 2022. (corresponding)

  • Sun T, Wang Z, Wu Y,Gu F,Li X,Bai Y,Shen C,Hu Z,Liang D, Liu X,Zheng H, Yang Y, El Fakhri G, Zhou Y, Wang M. "Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging", European Journal of Nuclear Medicine and Molecular Imaging, 49(8):2994-3004, 2022.

  • Shen C, Wang Z, Chen Z, Bai Y, Li X, Liang D, Liu X, Zheng H, Wang M, Yang Y, Wang H, Sun T*. "Identifying the mild Alzheimer's disease with 30-min 11C-PiB PET scan", Frontiers in Aging Neuroscience, 14(785495), 2022. (corresponding)

  • Sun T, Wu Y, Bai Y, Wang Z, Shen C, Wang W, Li C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, Wang M. "An iterative image-based motion compensation method for dynamic brain PET imaging", Physics in Medicine & Biology, 67(3),035012, 2022.

  • Sun T, Fulton R, Hu Z, Sutiono C, Liang D, Zheng H, "Inferring CT perfusion parameters and their uncertainties using a Bayesian approach", Quantitative Imaging in Medicine and Surgery, 12(1):439-448, 2022.

  • Sang Z, Kuang Z, Wang X, Ren N, Wu S, Niu M, Cong L, Liu Z, Hu Z, Sun T, Liang D, Liu X, Zheng H, Li Y, Yang Y. "Mutual interferences between SIAT aPET insert and a 3T uMR 790 MRI scanner", Physics in Medicine & Biology, 2023, 68(2), 025021.

  • Kuang Z, Wang X, Ren N, Wu S, Zeng T, Niu M, Cong L, Sang Z, Liu Z, Sun T, Hu Z, Liang D, Liu X, Zheng H, Yang Y. "Physical and Imaging Performance of SIAT aPET under Different Energy Windows and Timing Windows", Medical Physics, 49(3):1432:1444, 2022.

  • Wu Y, Feng T, Shen Y, Fu F, Meng N, Li X, Xu T, Sun T, Gu F, Wu Q, Zhou Y, Han H, Bai Y, Wang M. "Total-body Parametric Imaging using the Patlak Model: Feasibility of reduced scan time", Medical Physics, 49(7):4529-4539, 2022.

  • Niu M, Wang X, Sun M, Kuang Z, Zhang X, Ren N, Wu S, Sang Z, Sun T, Hu Z, Yang Y. “Ultra-high resolution depth encoding small animal PET detectors using GAGG and LYSO crystal arrays”, Medical Physics, 49(5):3006-3020, 2022.

  • Chen Z, Wu Y, Zhang N, Sun T, Shen Y, Zheng H, Hu Z. "High temporal resolution total-body dynamic PET imaging based on pixel-level time-activity curve correction", IEEE Transactions on Biomedical Engineering, Accepted, 2022.

  • Sun T, Jacobs R, Pauwels Ruben J, Tijskens E, Fulton Roger R, Nuyts, J, "A motion correction approach for oral and maxillofacial cone-beam CT imaging", Physics in Medicine & Biology, 66(12): 125008, 2021.

  • Zhang C, Wang X, Sun M, Kuang Z, Zhang X, Ren N, Wu S, Sang Z, Sun T, Hu Z, Yang Y, Liu Z. "A thick semi-monolithic scintillator detector for clinical PET scanner", Physics in Medicine & Biology, 66(6): 065023, 2021.

  • M Alpert, Matthieu Galarneau, Sally Kim, Petibon Y, Sun T, M Ramos-Torres, Normandin Marc, El Fakhri Georges, Ouyang J, "In-Vivo Imaging of Mitochondrial Depolarization of Myocardium with Positron Emission Tomography and a Proton Gradient Uncoupler", Frontiers in Physiology, vol.46, no.11, 2020.

  • Sun T, Petibon Y, Han PK, Ma C, Kim SJW, Alpert NM, El Fakhri G, Ouyang J, "Body motion detection and correction in cardiac PET: phantom and human studies", Medical Physics, vol.46, no.11, 2019.

  • Petibon Y+, Sun T+, Han PK, Ma C, Kim SJW, Alpert NM, El Fakhri G, Ouyang J, "MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging", Physics in Medicine and Biology, vol.64, no.19, 2019.(+co-author)

  • Cao W, Sun T, Fardell G, Price B, and Dewulf W, "Comparative performance assessment of beam hardening correction algorithms applied on simulated datasets", Journal of Microscopy, vol.272, no.3, 2018.(paper)

  • Cao W, Sun T, Kerckhofs G, Fardell G, Price B, and Dewulf W , Y. Yuan, "A simulation based study on the influence of the x-ray spectrum on the performance of multi-material beam hardening correction algorithms", Measurement Science and Technology, vol.29, no.9, 2018.(paper)

  • Sun T , Clackdoyle R, Kim J, Fulton R, and Nuyts J, "Estimation of local data-insufficiency in motion-corrected helical CT", IEEE Transaction on Radiation and Plasma Medicine Science, vol.1, no.4, July 2017.(paper)

  • Sun T , Kim JH, Fulton R, and Nuyts J, "An iterative projection-based motion estimation and compensation scheme for head X-ray CT", Medical Physics,vol.43, no.10, 2016.(paper)

  • Kim JH, Sun T , Alcheikh A, Kuncic Z, Nuyts J, and R. Fulton, "Correction for human head motion in helical x-ray CT", Physics in Medicine and Biology,vol.61, no.4, 2016.(paper)

  • Sun T , Wu TH, Wang SJ, Yang BH, Wu NY, and Mok GSP, "Low dose interpolated average CT for thoracic PET/CT attenuation correction using an active breathing controller", Medical Physics, vol.40, 2013.(paper)

  • Mok GSP, Sun T , Huang TC, and Vai MI, "Interpolated average CT for attenuation correction in PET – a simulation study", IEEE Transaction on Biomedical Engineering, vol.60, no.7, 2013.(paper)

  • Sun T and Mok GSP, "Techniques for respiration-induced artifacts reductions in thoracic PET/CT", Quantitative Imaging in Medicine and Surgery, vol.2, 2012.(paper)

Conference abstracts

  • Ruiyue Zhao, Zeheng Xia, Miao Ke, Jie Lv, Huizhen Zhong, Yulu He, Di Gu, Yongda Liu, Guohua Zeng, Lin Zhu, David Alexoff, Hank F. Kung, Xinlu Wang, T Sun, “Determining the simplified quantification method of [18F]AlF-P16-093 for patients with primary prostate cancer”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Toronto, Canada, 2024.

  • Zeheng Xia, Zhiheng Yao, Yaping Wu, Nan Meng, Yan Bai, Dong Liang, Ye Li, Yongfeng Yang, Meiyun Wang, T Sun, “Comparative between linear least-squares and nonlinear least-squares computation method for regional and voxelized quantitative analysis in total-body dynamic 18F-FDG PET”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Toronto, Canada, 2024.

  • T Sun, Yaping Wu, Nan Meng, Yan Bai, Dong Liang, Ye Li, Yongfeng Yang, Meiyun Wang, “The biodistribution difference between total-body and conventional whole-body FDG image: does it matter?”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Toronto, Canada, 2024.

  • Z Wang, S Wang, Y Wu, H Tan, X Chen, Y Yang, D Liang, X Liu, Y Zhou, M Wang, T Sun, “Non-invasive quantification of brain [18F]FDG-PET using infered blood input function learned from total-body scan data”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Chicago, United States, 2023.

    • J Ding, C Shen, Z Wang, H Chen, Y Yang, Y Zhou, T Sun, “Tau-PET topological abnormity changes along with Alzheimer;s disease progression”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Chicago, United States, 2023.

  • Y Wu, F Fu, N Meng, Z Wang, X Li, Y Bai, D Liang, X Liu, Y Yang, Y Zhou, M Wang, T Sun, “Comparison between total-body dynamic and delayed imaging in lesion detection and diagnosis”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Chicago, United States, 2023.

  • Z Wang, S Wang, Y Wu, H Tan, X Chen, Y Yang, D Liang, X Liu, Y Zhou, M Wang, T Sun, “Non-invasive quantification of brain [18F]FDG-PET using infered blood input function learned from total-body scan data”, IEEE International Symposium on Biomedical Imaging (ISBI) , Cartagena, Columbia, 2023.

  • Sun T, Wang Z, Wu Y, Gu F, Li X, Bai Y, Shen C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, El Fakhri G, Zhou Y, Wang M, “Identifying the individual metabolic abnormities from a systematic perspective using whole-body PET imaging”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Vancouver, Canada, 2022.

  • Wang Z, Wu Y, Shen C, Chen H, Ding J, Gu F, Li X, Bai Y, Hu Z, Liang D, Liu X, Zheng H, Yang Y, Zhou Y, Wang M, Sun T, “Comparison between dual-time-window protocol with other simplified quantifications in dynamic total-body 18F-FDG PET imaging”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Vancouver, Canada, 2022.

  • Shen C, Ding J, Chen H, Gu F, Wang Z, Hu Z, Liang D, Liu X, Zheng H, Yang Y, Zhou Y, Wang M, Sun T, “Longitudinal changes of amyloid network during the progression of Alzheimer’s disease”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Vancouver, Canada, 2022.

  • Wumener X, Sun T, Liang Y, “Parametric dynamic 18F-FDG PET/CT imaging for differentiating positive lymph nodes in lung cancer”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Vancouver, Canada, 2022.

  • Sun T, Wang Y, Hu Z, Li C, Yang Y, “Tracer kinetics driven motion correction in dynamic PET imaging”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Washington, DC, 2021.

  • Sun T, Wang Y, Hu Z, Yang Y, Li C, “Peak-Clearance-Rate as index for detection of Alzheimer’s Disease using 11C-PiB PET imaging”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Washington, DC, 2021.

  • Sang Z, Kuang Z, Lee J, Wang X, Ren N, Wu S, Gao D, Zeng T, Liu Z, Sun T, Hu Z, Li Y, Yang Y, “MRI Compatibility Measurements of SIAT aPET”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Washington, DC, 2021.

  • Chen Z, Li C, Sun T, WANG Y, Liang D, Liu X, Yang Y, Zheng H, Hu Z, Li K, Cheng Z, Cui X, Duan Y,” Iterative method for the calculation of parametric images from dynamic brain PET images”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Washington, DC, 2021.

  • Kuang Z, Sang Z, Wang X, Gao D, Ren N, Wu S, Zeng T, Niu M, Cong L, Liu Z, Sun T, Hu Z, Du J, Yang Y,” Design and Development of an MRI Compatible Human Brain PET Scanner by Using Dual-ended Readout Detectors”, Society of Nuclear Medicine & Molecular Imaging Meeting (SNMMI), Washington, DC, 2021.

  • Sun T, Fulton R, "A Bayesian approach for CT perfusion parameters estimation with imperfect measurement", SPIE Medical Imaging Conference , vol.11600, pp.1160007, 2021.

  • Sun T, "Peak-Decay-Rate as index for detection of Alzheimer’s Disease using 11C-PiB PET imaging", SPIE Medical Imaging Conference , vol.11595, pp. 1159508, 2021.

  • Sun T, Fulton R, "Inferring CT perfusion parameters and their uncertainties using a Bayesian approach", in proceeding of 15th IEEE International Conference on Signal Processing , 2020.

  • Sun T, Becker JA, Lois C, Johnson K, El Fakhri G, Ouyang J, "Time-of-flight List-mode based motion correction for 18F-MK6240 PET imaging", presented in the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI) , 2020.

  • Sun T, Yoann Petibon, Paul Han, Chao Ma, Georges El Fakhri, Jinsong Ouyang, "Dynamic PET Imaging of Myocardial Glucose Consumption Using MR-based Cardiac/Respiratory Correction: Human studies", presented in the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), 2019.

  • Sally Kim, Matthieu Pelletier-Galarneau, Yoann Petibon, Sun T, Patrick Martineau, Marc Normandin, Georges El Fakhri and Nathaniel Alpert, "Measurement of Myocardial MembranePotential by Primed Constant Infusion", presented in the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), Anaheim, California, 2019.

  • Sun T, Yoann Petibon, Paul Han, Chao Ma, Sally J. W. Kim, Nathaniel M. Alpert, Georges El Fakhri, Jinsong Ouyang, "Bulk Motion Correction Using Cardiac PET List-mode Data", in proceeding of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Philadelphia, Pennsylvania, 2019.

  • Kuang Gong, Dufan Wu, Kyungsang Kim, Jaewon Yang, Sun T, Georges El Fakhri, Quanzheng Li Youngho Seo, "MAPEM-Net: An Unrolled Neural Network for Fully 3D PET Image Reconstruction", in proceeding of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Philadelphia, Pennsylvania, 2019.

  • Sun T, Fulton R, Nuyts J, "A method to reduce data-redundancy artifacts for arbitrary source trajectories in CT imaging",poster presented in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.

  • Sun T, Fulton R, Nuyts J. "Simultaneous Correction of motion and metal artifacts in head CT scanning", in proceeding of IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, 2017.(pdf)

  • Sun T, Nuyts J, Fulton R, "A motion compensation approach for dental cone-beam region-of-interest imaging", in proceeding of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Xi’an, China, 2017.(pdf)

  • Sun T Kim JH, Fulton R, and Nuyts J. "Data-driven correction for head motion in helical X-ray CT", in Conference Record of 4th International Meeting on image formation in X-ray CT (CT meeting), Bamberg, Germany, 2016.(pdf)

  • Sun T, Clackdoyle R, Fulton R, and Nuyts J, "Data-completeness prediction for reconstruction in the interior problem", poster presented in IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, USA, 2015.

  • Sun T, Fulton R, Kim JH, and Nuyts J. "Data driven helical CT rigid motion correction", in Conference Record of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Newport, 2015.(pdf)

  • Kim JH, Sun T, Nuyts J, Kuncic Z, and Fulton R. "Feasibility of correcting for realistic head motion in helical CT", in Conference Record of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Newport, 2015.

  • Sun T, Clackdoyle R, Fulton R, and Nuyts J. "Quantification of local reconstruction accuracy for helical CT with motion correction", in Conference Record of IEEE Nuclear Science Symposium and Medical Imaging Conference, Seattle, 2014.(pdf)

  • Mok GSP, Ho C, and Sun T. "Interpolated average CT for reducing cardiac PET/CT artifacts", presented in the Annual Congress of the European Association of Nuclear Medicine, Lyon, France, 2013.

  • Mok GSP, Sun T, Wang SJ, and Wu TH. "Clinical evaluation of interpolated average CT using active breathing controller (ABC) for attenuation correction in thoracic PET/CT", presented in the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), Vancouver, Canada, 2013.

  • Mok GSP, Ho C, and Sun T. "Interpolated average CT for cardiac PET/CT attenuation correction - a simulation study", presented in the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), Vancouver, Canada, 2013.

  • Ho CYT, Sun T, Wu TH, and Mok GSP. "Performance evaluation of interpolated average CT for PET attenuation correction in different lesion characteristics", in Conference Record of IEEE Nuclear Science Symposium and Medical Imaging Conference, Seoul, South Korea, 2013.(pdf)

  • Sun T, Wu TH, Wu NY, and Mok GSP. "Low dose interpolated average CT for PET/CT attenuation correction using an active breathing controller (ABC)". in Conference Record of IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, 2012.(pdf)

  • Mok GSP, Sun T, Wu TH, Chang MB, and Huang TC. "Interpolated average CT for attenuation correction in PET – a simulation study". in Conference Record of IEEE Nuclear Science Symposium and Medical Imaging Conference, Valencia, Spain, 2011.(pdf)

Thesis

  • Sun T, Motion correction for head CT imaging, PhD dissertation, 2018. (pdf)

  • Sun T, Low Dose Interpolated Average CT for Thoracic PET/CT Attenuation Correction, Master dissertation, 2014. (pdf)

Book Chapter

  • Mok GSP, Sun T, and Liu C. Reducing respiratory artifacts in thoracic PET/CT. Book Chapter in Medical Imaging: Technology and Applications, CRC Press, October 1, 2013.(pdf)

Patent Application

  • A Method and Apparatus for Motion Correction in CT Imaging, US10722178B2, 2020.

  • System and method for attenuation correction in emission computed tomography, US Patent Application, 14/210457.