• 胡晨曦


    胡晨曦博士,js345线路检测副教授、博士生导师,2010-2015就读于美国奥本大学,获应用数学硕士学位与电气工程博士学位,2015-2019年于耶鲁大学医学院放射与医学影像系担任博士后研究员,2019年6月加入js345线路检测。主要研究领域是磁共振序列、图像重建算法、图像处理算法、人工智能理论与应用。长期致力于通过新方法和技术的开发提高磁共振成像,尤其是心脏磁共振成像的成像效率、稳定性、和医学价值。


    曾获得“上海市特聘专家”青年项目,国际医学磁共振学会(ISMRM)2018年W. S. Moore Young Investigator Award(该年度全球唯一获奖者、ISMRM青年学者最高奖项之一),美国心血管磁共振学会(SCMR)2018年Early Career Award提名。主持NSFC青年基金项目、上海市浦江人才项目、上海市“探索者”项目等4项科研项目,在磁共振领域顶级期刊(MRM,JMRI,JCMR,TMI等)发表论文20篇,会议论文50余篇,申请专利6项,并担任EHJ-CI, MIA, CMR, MRM, JMRI等知名学术期刊的审稿人。


    实验室网站:https://sjtucmrlab.feishu.cn/docx/


    2024年夏令营:我们真诚邀请对磁共振成像技术和人工智能医学影像技术具有浓厚兴趣,科研驱动能力强,有科研训练基础的同学加入我们的团队!有兴趣者请在夏令营期间与我联系。

研究方向
Novel pulse sequences, reconstruction algorithms, and image processing methods; fast MR imaging; development of machine learning methods and applications for medical imaging
科研项目
1. js345线路检测,“交大之星”医工交叉重点项目,基于心脏磁共振影像大数据人工智能鉴别心肌肥厚性疾病及危险分层,2020-2022,Co-PI共同主持

2. 国家自然科学基金(NSFC),青年科学基金项目,快速鲁棒高分辨率心脏磁共振定量成像的开发与临床验证,2021-2023,主持 

3. 上海市浦江计划(Shanghai Pujiang Program), 2020-2022,主持

4. 上海市”探索者“计划,自由呼吸三维心脏PET/MR联合成像方法的开发与临床验证, 2023-2025,主持


代表性论文专著

1. Xin Tang, Juan Gao, Ahmed Aburas, Dan Wu, Zhuo Chen, Hao Chen, Chenxi Hu*. Accelerated multi-b-value multi-shot diffusion-weighted imaging based on EPI with keyhole and a low-rank tensor constraint, Magnetic Resonance Imaging, Volume 110, 2024, Pages 138-148
2. Nahla M.H. Elsaid, Nadine L. Dispenza, Chenxi Hu, Dana C. Peters, R. Todd Constable, Hemant D. Tagare, Gigi Galiana. Constrained alternating minimization for parameter mapping (CAMP), Magnetic Resonance Imaging, Volume 110, 2024, Pages 176-183
3. Zhuo Chen#, Sha Hua#, Juan Gao, Yanjia Chen, Yiwen Gong, Yiwen Shen, Xin Tang, Yixin Emu, Wei Jin,Chenxi Hu*. A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging. J Cardiovasc Magn Reson 25, 68 (2023).
4. Yang F, Zhang J, Li G, Zhu J, Tang X, and Hu C*. Regularized SUPER-CAIPIRINHA: accelerating 3D variable-flip-angle T1 mapping with accurate and efficient reconstruction. Magnetic Resonance in Medicine 2023; 90(4): 1380-1395.
5. Chen H, Dai K, Bao J, Zhong S, Hu C, Liu Y, Zhang Z. Pseudo multishot echo-planar imaging for geometric distortion improvement. NMR Biomed. 2023 May;36(5):e4885. doi: 10.1002/nbm.4885. Epub 2022 Dec 16. PMID: 36454107.
6. Zhang Z#, Chen X#, Wan Q#, Wang H, Qi N, You Z, Yuan J, Hu L, Sun H, Wang Z, Hu C*, Zhao J*. A two-stage cardiac PET and late gadolinium enhancement MRI co-registration method for improved assessment of non-ischemic cardiomyopathies using integrated PET/MR. Eur J Nucl Med Mol Imaging. 2022 Jun;49(7):2199-2208.
7. Gonzales RA, Seemann F, Lamy J, Mojibian H, Atar D, Erlinge D, Steding-Ehrenborg K, Arheden H, Hu C, Onofrey JA, Peters DC, and Heiberg E. "MVnet: automated time-resolved tracking of the mitral valve plane in MRI long-axis cine images with residual neural networks - a multi-center, multi-vendor study". Journal of Cardiovascular Magnetic Resonance 2021; 23: 137.
8. Jiang P, Feng Z, Sheng L, Hu C, Ma X, Zhang S, Wu L, Xiao X, Wang Q, Guo C, Qiu D, Fang J, Xu J, Gershwin M.E. Jiang M, Ma X, Pu J. "Morphological, Functional, and Tissue Characterization of Silent Myocardial Involvement in Patients With Primary Biliary Cholangitis." Clin Gastroenterol Hepatol. 2021
9. Gao J, Liu Q, Zhou C, Zhang W, Wan Q, Hu C, Gu Z, Liang D, Liu X, Yang Y, Zheng H, Hu Z, Zhang N. An improved patch-based regularization method for PET image reconstruction. Quantitative Imaging in Medicine and Surgery 2021 Feb;11(2):556-570.
10. Hu C*, Huber S, Nguyen V, Baldassarre L, Mojibian H, Peters D. Fat-saturated dark-blood cardiac T2 mapping in a single breath-hold. Magnetic Resonance Imaging 2021;81:24-32.
Robb JS, Hu C*, Peters DC. Interleaved, undersampled radial multiple-acquisition steady-state free precession for improved left atrial cine imaging. Magnetic Resonance in Medicine 2020;83(5):1721-1729.
11. Hu C, Tokoglu F, Scheinost D, Qiu M, Shen X, Peters DC, Galiana G, Constable RT*. “Dynamic‐flip‐angle ECG‐gating with nuisance signal regression improves resting‐state BOLD functional connectivity mapping by reducing cardiogenic noise”. Magnetic Resonance in Medicine. 2019 April 24. Doi: 10.1002/mrm.27775
12. Hu C* and Peters DC, “SUPER: a blockwise curve-fitting method for accelerating MR parametric mapping with fast reconstruction”, Magnetic Resonance in Medicine. 2019 Jan 17. Doi: 10.1002/mrm/27662
13. Hu C*, Huber S, Santacana-Laffitte G, Latif SR, Mojibian HR, Baldassarre LA, Peters DC. “REPAIRit: improving myocardial nulling and reducing ghosting artifacts in 3D navigator-gated late gadolinium enhancement under arrhythmia”. Journal of Magnetic Resonance Imaging, 2018 Sept 25. doi:10.1002/jmri.26284
14. Seemann F*, Baldassarre LA, Llanos F, Gonzales R, Grunseich K, Hu C, Sugeng L, Meadows J, Heiberg E, Peters DC. “Assessment of diastolic dysfunction and atrial remodeling by mri—validation and correlation with echocardiography and filling pressure”. Physiology Reports. 2018 Sept 05. doi: 10.14814/phy2.13828
15. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, and Peters DC. “Reverse double inversion-recovery: improving motion robustness of cardiac T2-weighted dark-blood turbo spin-echo sequence”, Journal of Magnetic Resonance Imaging. 2017 Nov 7. doi: 10.1002/jmri.25886
16. Hu C*, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, and Peters DC. “T1-refBlochi: High resolution 3D cardiac post-contrast T1 mapping based on a single 3D late gadolinium enhancement, Bloch equations, and a reference T1”. Journal of Cardiovascular Magnetic Resonance. 2017;19(1):63. doi: 10.1186/s12968-017-0375-1.
17. Hu C*, Reeves SJ, Peters DC, and Twieg D. “An efficient reconstruction algorithm based on the alternating direction method of multipliers for joint estimation of R2* and off-resonance in fMRI”. IEEE Transactions on Medical Imaging. 2017;36(6):1326-1336. doi: 10.1109/TMI.2017.2667698.
18. Hu C* and Reeves SJ. “Trust region methods for estimation of complex exponential decay models in MRI with a single-shot trajectory”. IEEE Transactions on Image Processing. 2015;24(11):3694-706. doi: 10.1109/TIP.2015.2442917


教学工作

生物医学信号与系统I(全英文版)


联系方式

邮箱地址:chenxi.hu@sjtu.edu.cn

办公地址:教三楼南楼415室

网址:https://sjtucmrlab.feishu.cn/docx/doxcngcsNVqwIOjG8lbKfaTxPLb