Regional Multi-view Learning for Cardiac Motion Analysis

  • Esther Puyol Anton (Creator)
  • Bram Ruijsink (Creator)
  • Bernhard Gerber (Creator)
  • Mihaela Silvia Amzulescu (Creator)
  • Helene Langet (Creator)
  • Mathieu De Craene (Creator)
  • Julia Schnabela (Creator)
  • Paolo Piro (Creator)
  • Andrew King (Creator)

Dataset

Description

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.
Date made available12 Dec 2017
PublisherKing's College London

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