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.

本项目由英国工程与自然科学研究委员会（Engineering and Physical Sciences Research Council, EPSRC）资助，旨在研究基于机器学习的方法，利用磁共振（Magnetic Resonance, MR）与超声数据开展运动分析。相关数据采集自健康志愿者，且已获得伦理审批与知情同意。

本项目隶属于伦敦国王学院生物医学工程与成像科学学院的医学成像博士培训中心（Centre for Doctoral Training in Medical Imaging）项目。该博士培训中心下设多个子项目，本项目名为“心脏运动与形变的多模态分析”。

本数据集包含在圣托马斯医院采集的健康志愿者磁共振与超声数据，且未通过英国国民保健署（National Health Service, NHS）渠道获取。所有志愿者均签署了允许数据发布的知情同意书。此外，所有数据集均已完成匿名化处理，并以NIfTI格式存储。

本数据支撑论文：Puyol-Anton, E. 等（2018）《区域多视图心脏运动分析学习：在扩张型心肌病患者识别中的应用》，发表于《IEEE生物医学工程汇刊》（IEEE Transactions on Biomedical Engineering），数字对象标识符（Digital Object Identifier, DOI）：10.1109/TBME.2018.2865669。本数据集原计划在6个月的限制访问期后于2018年6月1日开放获取，但数据创建者已确认该限制访问期已于2018年8月14日解除。