Regional Multi-view Learning for Cardiac Motion Analysis

EPSRC funded project to investigate machine learning based methods to use MR and Ultrasound data for motion analysis. Data acquired from healthy volunteers with ethics and consent.

This project belongs to the CDT in Medical Imaging Project of the School of Biomedical Engineering & Imaging Sciences, King's College of London. The CDT in Medical Imaging Project has multiple sub-projects, and this one is called Multimodal analysis of cardiac motion and deformation.

The dataset contains MR and ultrasound healthy volunteer data acquired at St Thomas Hospital but not through the NHS. All volunteers have signed the consent form that allow release of the data. Furthermore, each dataset has been anonymized and stored in Nifti format.

This data supports the article Puyol-Anton, E. et al, (2018) Regional Multi-view Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Transactions on Biomedical Engineering.
doi: 10.1109/TBME.2018.2865669.Data will become openly accessible on 01/06/2018 following a 6 month embargo. Creator confirms embargo lift on 14/08/2018.

由英国工程与物理科学研究委员会（EPSRC）资助的项目旨在探究基于机器学习的方法，利用磁共振（MR）和超声数据进行分析运动。所收集的数据均来自经过伦理审查和同意的健康志愿者。该项目隶属于伦敦国王学院生物医学工程与影像科学学院的医学影像博士培养计划（CDT），该计划包含多个子项目，本项目名为多模态心脏运动和变形分析。数据集包含在圣托马斯医院获取的磁共振和超声健康志愿者数据，但并非通过英国国家卫生服务体系（NHS）获取。所有志愿者均已签署同意书，允许释放数据。此外，每个数据集均已匿名化，并以 Nifti 格式存储。该数据集支持文章《Puyol-Anton, E. 等人，(2018) 区域多视角学习在心脏运动分析中的应用：用于扩张型心肌病患者的识别。IEEE生物医学工程杂志。doi: 10.1109/TBME.2018.2865669。数据将在 2018 年 1 月 1 日解除为期六个月的保密期后公开。数据创建者确认在 2018 年 8 月 14 日解除保密期。》