个人简介

胡晨曦博士，上海交通大学生物医学工程学院副教授、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月加入上海交通大学。 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（全球唯一获奖者、ISMRM青年学者最高奖项），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、“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）和会议发表第一/通讯论文近20篇，会议摘要40余篇，专利3项，并担任EHJ-CI, MIA, CMR, MRM, JMRI等知名学术期刊的审稿人。 科研项目 1. 上海交通大学，“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 教学工作 生物医学信号与系统I（全英文版）

研究领域

Novel pulse sequences, reconstruction algorithms, and image processing methods; fast MR imaging; development of machine learning methods and applications for medical imaging

磁共振序列、图像重建算法、图像处理算法、以及人工智能方法的开发与应用等。长期致力于通过开发新的成像技术和重建算法提高磁共振成像，尤其是在心脏成像领域的成像效率、稳定性、和医学价值。

近期论文

查看导师最新文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. 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 (in-press). 2. 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. 3. 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. 4. 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. 5. 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;0(0):1-13. 6. Hu C*, Peters DC. SUPER: A blockwise curve-fitting method for accelerating MR parametric mapping with fast reconstruction. Magnetic Resonance in Medicine 2019;81(6):3515-3529. 7. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, Peters DC. REPAIRit: Improving Myocardial Nulling and Ghosting Artifacts of 3D Navigator-Gated Late Gadolinium Enhancement Imaging During Arrhythmia. Journal of Magnetic Resonance Imaging 2019;49(3):688-699. 8. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, Peters DC. Reverse double inversion-recovery: Improving motion robustness of cardiac T2 -weighted dark-blood turbo spin-echo sequence. Journal of Magnetic Resonance Imaging 2018;47(6):1498-1508. 9. Hu C*, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, Peters DC. T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1. Journal of Cardiovascular Magnetic Resonance 2017;19(1):63. 10. Hu C*, Reeves S, Peters DC, 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. 11. Hu C*, Reeves SJ. Trust Region Methods for the Estimation of a Complex Exponential Decay Model in MRI With a Single-Shot or Multi-Shot Trajectory. IEEE Transactions on Image Processing 2015;24(11):3694-3706.