講座題目 | 大腦微結(jié)構(gòu)定量成像的效度與信度研究大腦微結(jié)構(gòu)定量成像的效度與信度研究 |
時(shí)間地點(diǎn) | 2021年6月21日（周一）13：30—15：30，地點(diǎn)：俊秀樓305會(huì)議室 |
講座內(nèi)容簡(jiǎn)介 （中文） | 大腦微結(jié)構(gòu)的定量成像對(duì)腦發(fā)育和腦疾病研究都至關(guān)重要。在努力發(fā)展新型快速定量成像技術(shù)的同時(shí)，影像標(biāo)志物的有效性和可重復(fù)性是當(dāng)下多中心、大隊(duì)列研究背景下的熱點(diǎn)話題。近年來(lái)，我們關(guān)注擴(kuò)散磁共振成像的神經(jīng)病理學(xué)基礎(chǔ)，建立了一套穩(wěn)定的離體人腦標(biāo)本的全/半腦磁共振成像規(guī)范方案，獲得高質(zhì)量高分辨率的離體人腦形態(tài)、結(jié)構(gòu)等圖像；其次，我們從成像物理和校正方法兩個(gè)角度研究跨中心擴(kuò)散成像的異質(zhì)性因素，設(shè)計(jì)了可操作的質(zhì)控方法和基于深度學(xué)習(xí)方法的數(shù)據(jù)融合方法，并公開發(fā)布了高質(zhì)量的多中心擴(kuò)散成像的旅行志愿者公開數(shù)據(jù)集。這些工作提示改進(jìn)采集和分析方法可以有效地提高定量磁共振成像隊(duì)列研究的準(zhǔn)確性和可靠性。 |
講座內(nèi)容簡(jiǎn)介 （英文） | 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.
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主講人簡(jiǎn)介 （中文） | 何宏建，浙江大學(xué)生物醫(yī)學(xué)工程與儀器科學(xué)學(xué)院副教授，博士生導(dǎo)師。浙江大學(xué)物理系本科(2005)、博士(2011,導(dǎo)師唐孝威院士)畢業(yè)，而后留校開展博士后研究。UCSD（2018.10~2010.3)、Stanford(2019.12~2020.3)大學(xué)訪問(wèn)學(xué)者。2013年進(jìn)入浙大生儀學(xué)院參與籌建腦影像科學(xué)技術(shù)中心(CBIST)，并工作至今。2015年底晉升為副教授。近年來(lái)主要關(guān)注大腦定量磁共振成像技術(shù)的研發(fā)、優(yōu)化和驗(yàn)證工作。圍繞上述方向發(fā)表論文30余篇，其中以第一或通訊作者在Neuroimage, Magnetic Resonance in Medicine等期刊上發(fā)表SCI論文20篇。擔(dān)任IEEE TMI，Neuroimage等國(guó)內(nèi)外多個(gè)期刊審稿人，以及Frontiers雜志Guest Editor, Review Editor。 |
主講人簡(jiǎn)介 （英文） | 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.
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