报告题目：基于机器学习和深度学习的弥散磁共振图像和纤维束成像计算和应用

报告摘要

弥散磁共振(diffusion MRI，dMRI)可以测量脑组织内水分子弥散运动情况以此来揭示脑组织的微观结构信息。dMRI最重要的功能之一是提供了当今唯一在活体大脑内进行白质纤维束映射的技术，即纤维束成像(tractography)。dMRI和tractography技术在许多实际科研和临床问题中(如脑疾病分析、神经外科手术术前指导等)提供了重要的解决方案。近年来，随着机器学习和深度学习的快度发展，其在dMRI的计算领域也获得极大地成功。在此报告中，张帆博士会介绍他和他的同事在dMRI和tractography计算方面提出的若干机器学习和深度学习算法，包括图像分割、配准、纤维束聚类/分类、脑图谱创建等。

1.Fan Zhang*, William M Wells, and Lauren J O'Donnell. Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration. IEEE TMI, 2022.

2.Fan Zhang*, Alessandro Daducci, Yong He, Simona Schiavi, Caio Seguin, Robert Smith, Chun-Hung Yeh, Tengda Zhao, and Lauren J O'Donnell. Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: a review. NeuroImage. 2022.

3.Tengfei Xue, Fan Zhang*, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J O'Donnell. SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI 2022

4.Fan Zhang*, Anna Breger, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J O'Donnell, and Ofer Pasternak. Deep learning based segmentation of brain tissue from diffusion MRI. NeuroImage, 233, Pp. 117934, 2021.

5.Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang*, and Lauren J O'Donnell. Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (Student Travel Award; Early Acceptance), Pp. 497-507. 2021.

6.Fan Zhang*, Thomas Noh, Parikshit Juvekar, Sarah F. Frisken, Laura Rigolo, Isaiah Norton, Tina Kapur, Sonia Pujol, William Wells, Alex Yarmarkovich, Gordon Kindlmann, Demian Wassermann, Raul San Jose Estepar, Yogesh Rathi, Ron Kikinis, Hans J. Johnson, Carl-Fredrik Westin, Steve Pieper, Alexandra J. Golby, and Lauren J. O'Donnell. SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization. JCO Clinical Cancer Informatics, 4, Pp. 299–309. 2020.

7.Fan Zhang*, Guoqiang Xie, Laura Leung, Michael Mooney, Lorenz Epprecht, Isaiah Norton, Yogesh Rathi, Ron Kikinis, Ossama Al-Mefty, Nikos Makris, Alexandra J. Golbya, and Lauren J. O’Donnell. Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. NeuroImage, 220, Pp. 117063. 2020.

8.Fan Zhang*, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J Golby, and Lauren J O'Donnell. Deep white matter analysis (DeepWMA): fast and consistent tractography segmentation. MedIA, 65, Pp. 101761, 2020.

9.Fan Zhang*, Lipeng Ning, Lauren J O'Donnell, and Ofer Pasternak. MK–curve: Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal. NeuroImage, 196, Pp. 68–80. 2019.

10.Fan Zhang*, Ye Wu, Isaiah Norton, Yogesh Rathi, Alexandra J Golby, and Lauren J O'Donnell. Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering. Human Brain Mapping, 40, 10, Pp. 3041–3057. 2019.

11.Fan Zhang*, Ye Wu, Isaiah Norton, Yogesh Rathi, Nikos Makris, and Lauren J. O'Donnell. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 179, Pp. 429-447. 2018.

12.Fan Zhang*, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, and Lauren J. O'Donnell. Whole brain white matter connectivity analysis using machine learning: an application to autism. NeuroImage, 172, Pp. 826-837, 2018.

13.Fan Zhang*, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborahand Waber, Borjan Gagoski, Kiera Sarill, Hesham Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, and Lauren J. O'Donnell. Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage, 171, Pp. 341-354. 2018.

嘉宾简介

张帆，博士，目前就职于哈佛大学医学院，担任讲师职位。其主要研究方向为医学图像计算，机器学习以及计算神经学。目前，已发表了学术论文100余篇，包括领域顶级期刊NeuroImage, MedIA, IEEE TMI等，和国际顶级会议MICCAI, CVPR, IJCAI等。曾多次组织国际会议、研讨会、期刊专刊等，并在近40个知名期刊和会议中担任审稿人。

特别感谢本次Webinar主要组织者：

王洪凯（大连理工大学）