Tianyi Zeng, PhD
Postdoctoral Associate
Research & Publications
Biography
Locations
Research Summary
Tianyi Zeng devoted to PET head motion correction techniques such as hardware-based markerless motion tracking system and deep learning method. Tianyi also works on PET reconstruction and other correction methods such as DOI calibration. His current target is developing robust motion correction and reconstruction methods for the NeuroEXPLORER, a next-generation ultra-high performance brain PET imager.
Reviewer for IEEE transactions on bio-medical engineering, Physics in medicine & biology and IEEE International Symposium on Biomedical Imaging.
Coauthors
Selected Publications
- The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High DOI ResolutionLiu J, Ren N, Zeng T, Kuang Z, Zhang Q, Wang X, Liu Z, Zheng H, Liang D, Yang Y, Hu Z. The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High DOI Resolution. IEEE Transactions on Radiation and Plasma Medical Sciences. 2024 Feb 26.
- Markerless head motion tracking and event-by-event correction in brain PETZeng T, Lu Y, Jiang W, Zheng J, Zhang J, Gravel P, Wan Q, Fontaine K, Mulnix T, Jiang Y, Yang Z, Revilla E, Naganawa M, Toyonaga T, Henry S, Zhang X, Cao T, Hu L, Carson R. Markerless head motion tracking and event-by-event correction in brain PET. Physics In Medicine And Biology 2023, 68: 245019. PMID: 37983915, PMCID: PMC10713921, DOI: 10.1088/1361-6560/ad0e37.
- Development and performance of SIAT bPET: a high-resolution and high-sensitivity MR-compatible brain PET scanner using dual-ended readout detectors.Kuang Z, Sang Z, Ren N, Wang X, Zeng T, Wu S, Niu M, Cong L, Kinyanjui SM, Chen Q, Tie C, Liu Z, Sun T, Hu Z, Du J, Li Y, Liang D, Liu X, Zheng H, Yang Y. Development and performance of SIAT bPET: a high-resolution and high-sensitivity MR-compatible brain PET scanner using dual-ended readout detectors. Eur J Nucl Med Mol Imaging 2023 PMID: 37782321, DOI: 10.1007/s00259-023-06458-z.
- Fast Reconstruction for Deep Learning PET Head Motion CorrectionZeng T, Zhang J, Lieffrig E, Cai Z, Chen F, You C, Naganawa M, Lu Y, Onofrey J. Fast Reconstruction for Deep Learning PET Head Motion Correction. 2023, 14229: 710-719. PMID: 38174207, PMCID: PMC10758999, DOI: 10.1007/978-3-031-43999-5_67.
- Cross-Attention for Improved Motion Correction in Brain PETCai Z, Zeng T, Lieffrig E, Zhang J, Chen F, Toyonaga T, You C, Xin J, Zheng N, Lu Y, Duncan J, Onofrey J. Cross-Attention for Improved Motion Correction in Brain PET. 2023, 14312: 34-45. PMID: 38174216, PMCID: PMC10758996, DOI: 10.1007/978-3-031-44858-4_4.
- Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion CorrectionLieffrig E, Zeng T, Zhang J, Fontaine K, Fang X, Revilla E, Lu Y, Onofrey J. Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2023, 00: 1-5. PMID: 38111738, PMCID: PMC10725741, DOI: 10.1109/isbi53787.2023.10230791.
- Fast Reconstruction for Deep Learning PET Head Motion CorrectionZeng, Tianyi, et al. "Fast Reconstruction for Deep Learning PET Head Motion Correction." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2023.
- Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion CorrectionLieffrig, Eléonore V., et al. "Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction." 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023.
- Supervised Deep Learning for Head Motion Correction in PETZeng T, Zhang J, Revilla E, Lieffrig E, Fang X, Lu Y, Onofrey J. Supervised Deep Learning for Head Motion Correction in PET. 2022, 13434: 194-203. PMID: 38107622, PMCID: PMC10725740, DOI: 10.1007/978-3-031-16440-8_19.
- Physical and imaging performance of SIAT aPET under different energy windows and timing windows.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 2022, 49: 1432-1444. PMID: 35049067, DOI: 10.1002/mp.15455.
- Supervised Deep Learning for Head Motion Correction in PETZeng, Tianyi, et al. "Supervised Deep Learning for Head Motion Correction in PET." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022.
- MRI-aided kernel PET image reconstruction method based on texture features.Gao D, Zhang X, Zhou C, Fan W, Zeng T, Yang Q, Yuan J, He Q, Liang D, Liu X, Yang Y, Zheng H, Hu Z. MRI-aided kernel PET image reconstruction method based on texture features. Physics In Medicine And Biology 2021, 66 PMID: 34192685, DOI: 10.1088/1361-6560/ac1024.
- Design and system evaluation of a dual-panel portable PET (DP-PET).Zeng T, Zheng J, Xia X, Chen X, Wang B, Zhang S, Chandler A, Cao T, Hu L, Chen Q, Chu X. Design and system evaluation of a dual-panel portable PET (DP-PET). EJNMMI Physics 2021, 8: 47. PMID: 34117943, PMCID: PMC8197684, DOI: 10.1186/s40658-021-00392-5.
- Automatic rat brain image segmentation using triple cascaded convolutional neural networks in a clinical PET/MR.Gao Y, Li Z, Song C, Li L, Li M, Schmall J, Liu H, Yuan J, Wang Z, Zeng T, Hu L, Chen Q, Zhang Y. Automatic rat brain image segmentation using triple cascaded convolutional neural networks in a clinical PET/MR. Physics In Medicine And Biology 2021, 66: 04NT01. PMID: 33527911, DOI: 10.1088/1361-6560/abd2c5.
- A GPU-accelerated fully 3D OSEM image reconstruction for a high-resolution small animal PET scanner using dual-ended readout detectors.Zeng T, Gao J, Gao D, Kuang Z, Sang Z, Wang X, Hu L, Chen Q, Chu X, Liang D, Liu X, Yang Y, Zheng H, Hu Z. A GPU-accelerated fully 3D OSEM image reconstruction for a high-resolution small animal PET scanner using dual-ended readout detectors. Physics In Medicine And Biology 2020, 65: 245007. PMID: 32679581, DOI: 10.1088/1361-6560/aba6f9.
- Design and performance of SIAT aPET: a uniform high-resolution small animal PET scanner using dual-ended readout detectors.Kuang Z, Wang X, Ren N, Wu S, Gao J, Zeng T, Gao D, Zhang C, Sang Z, Hu Z, Du J, Liang D, Liu X, Zheng H, Yang Y. Design and performance of SIAT aPET: a uniform high-resolution small animal PET scanner using dual-ended readout detectors. Physics In Medicine And Biology 2020, 65: 235013. PMID: 32992302, DOI: 10.1088/1361-6560/abbc83.
- PET-MRI 脑部定量准确性对比研究: MRI 与 PET 脑分区对 SUVR 计算的影响李再升, et al. "PET-MRI 脑部定量准确性对比研究: MRI 与 PET 脑分区对 SUVR 计算的影响." 核技术 43.5 (2020): 50301-050301.
- [Timing calibration comparison research of integrated TOF-PET/MR].Zeng T, Yang H, Cao T, Hu L, Chu X, Lu X, Chen Q. [Timing calibration comparison research of integrated TOF-PET/MR]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal Of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi 2019, 36: 1003-1011. PMID: 31875375, DOI: 10.7507/1001-5515.201809044.
- 一体化 PET/MR 技术的发展及临床应用曾天翼, 宋少莉, and 吕力琅. "一体化 PET/MR 技术的发展及临床应用." 收藏 4 (2019).