Imperial College London（帝国理工学院）

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge

极端呼吸运动下的心脏MRI分析：CMRxMotion挑战结果

Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob van der Geest, Tewodros Weldebirhan Arega, Fabrice Meriaudeau, Caner Özer, Amin Ranem, John Kalkhof, İlkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A Niederer, Carles Garcia-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Płotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang

机构 * Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, Shanghai 200032, China ； Shanghai Key Laboratory of MICCAI, Fudan University, Shanghai, Shanghai 200032, China ； Department of Electrical ； Electronic Engineering \& I-X, Imperial College London, London, London SW7 2AZ, United Kingdom ； Department of Radiology, Zhongshan Hospital Affiliated to Fudan University, Shanghai, Shanghai 200032, China ； Department of Computing, Imperial College London, London, London SW7 2AZ, United Kingdom ； School of Computer Science, University of Sheffield, Sheffield, S1 4DP, United Kingdom ； Department of Engineering Science, University of Oxford, Oxford, OX2 0ES, United Kingdom ； Shanghai Pudong Hospital ； Human Phenome Institute, Fudan University, Shanghai, 201203, China ； School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, United Kingdom ； Diagnostic Imaging, University of Alberta, Edmonton, AB T6G 1K4, Canada ； Department of Computer Science ； Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong 000000, China ； The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology ； Reproduction, Maastricht University, 6220 MD Maastricht, The Netherlands ； Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AZ, The Netherlands ； Department of Radiology, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago 60611, United States ； United Imaging Research, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China ； Division of Image Processing, Department of Radiology, Leiden University Medical Center, PO Box 9600, Leiden 2300 RC, The Netherlands ； Université Bourgogne Europe, CNRS, ICMUB UMR 6302, 21000 Dijon, France ； Istanbul Technical University, Maslak, 34467, İstanbul, Türkiye ； Computer Science, Technical University of Darmstadt, Karolinenpl. 5, 64289 Darmstadt, Germany ； Lung Institute, Faculty of Medicine, Imperial College London, Guy Scadding Building, Cale Street, London, SW3 6LY,United Kingdom ； Hawkes Institute, Department of Computer Science, University College London, 66-72 Gower St, London, United Kingdom ； School of Medicine, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland ； CeADAR: Ireland's Centre for AI, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland ； Sano Centre for Computational Medicine, Czarnowiejska 36, 30-054, Krakow, Poland ； Faculty of Mathematics ； Computer Science, Jagiellonian University, S. Łojasiewicza 6, Krakow, Poland ； Department of Electronic ； Computer Engineering, The Hong Kong University of Science ； School of Instrument Science ； Engineering, Southeast University, Nanjing, Nanjing 210096, China ； College of Artificial Intelligence, Nanjing University of Aeronautics ； Academy for Engineering ； Technology, Fudan University, Shanghai, Shanghai 200433, China ； College of Biomedical Engineering, Fudan University, Shanghai, Shanghai 200433, China ； Institute of Science ； Technology for Brain-inspired Intelligence, Fudan University, Shanghai, Shanghai 200433, China ； Department of Brain Sciences, Imperial College London, London, London SW7 2AZ, United Kingdom ； Data Science Institute, Imperial College London, London, London SW7 2AZ, United Kingdom 纠错

AI总结 本文提出CMRxMotion挑战，通过公开数据集评估深度学习模型在呼吸运动干扰下的心脏MRI分析性能，并探讨运动伪影对临床生物标志物的影响。