Quantitative imaging of brain microstructure is essential for brain development and brain disease research. While striving to develop new rapid quantitative imaging technologies, the validity and reproducibility of image markers are currently hot topics in the context of multi-center and large cohort research. In recent years, we have paid attention to the neuropathological basis of diffusion magnetic resonance imaging, and established a set of stable whole/half brain magnetic resonance imaging specifications of isolated human brain specimens, and obtained high-quality and high-resolution isolated human brain morphology and structure. Second, we studied the heterogeneity factors of cross-center diffusion imaging from the perspectives of imaging physics and correction methods, designed operational quality control methods and data fusion methods based on deep learning methods, and publicly released high-quality A public dataset of traveling volunteers for multicenter diffusion imaging. These work suggest that improving acquisition and analysis methods can effectively improve the accuracy and reliability of quantitative magnetic resonance imaging cohort studies.
何宏建，浙江大学生物医学工程与仪器科学学院副教授，博士生导师。浙江大学物理系本科(2005)、博士(2011,导师唐孝威院士)毕业，而后留校开展博士后研究。UCSD（2018.10~2010.3)、Stanford(2019.12~2020.3)大学访问学者。2013年进入浙大生仪学院参与筹建脑影像科学技术中心(CBIST)，并工作至今。2015年底晋升为副教授。近年来主要关注大脑定量磁共振成像技术的研发、优化和验证工作。围绕上述方向发表论文30余篇，其中以第一或通讯作者在Neuroimage, Magnetic Resonance in Medicine等期刊上发表SCI论文20篇。担任IEEE TMI，Neuroimage等国内外多个期刊审稿人，以及Frontiers杂志Guest Editor, Review Editor。
He Hongjian is an associate professor and doctoral supervisor at the College of Biomedical Engineering & Instrument Science Zhejiang University. Graduated from the Department of Physics of Zhejiang University (2005) and Ph.D. (2011, advisor, Academician Tang Xiaowei), and then stayed on to carry out post-doctoral research. UCSD (2018.10~2010.3), Stanford (2019.12~2020.3) University visiting scholar. In 2013, he joined the College of Biomedical Engineering & Instrument Science, Zhejiang University, and participated in the preparation of the Brain Imaging Science and Technology Center (CBIST), and he has been working so far. Promoted to associate professor at the end of 2015. In recent years, he has mainly focused on the research and development, optimization and verification of brain quantitative magnetic resonance imaging technology. He has published more than 30 papers in the above directions, including 20 SCI papers published in Neuroimage, Magnetic Resonance in Medicine and other journals as the first or corresponding author. Served as a reviewer for several domestic and foreign journals such as IEEE TMI, Neuroimage, and Guest Editor and Review Editor for Frontiers magazine.