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A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition

Chiara Manini1,2, Olena Nemchyna3, Serdar Akansel3

  • 1Institute of Computer-Assisted Cardiovascular Medicine, Deutsches Herzzentrum Der Charité (DHZC), Berlin, Germany. chiara.manini@dhzc-charite.de.

International Journal of Computer Assisted Radiology and Surgery
|September 7, 2023
PubMed
Summary

A new numerical simulation framework aids in developing cardiac MRI strategies. The radial sampling method (rLAX) shows superior accuracy for mitral valve assessment.

Keywords:
Cardiac phantomImage simulationMagnetic resonance imagingMitral valveModelingSegmentation

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Area of Science:

  • Medical Imaging
  • Computational Modeling
  • Cardiovascular Science

Background:

  • Numerical phantoms are crucial for developing and validating medical imaging techniques.
  • Cardiac magnetic resonance (CMR) offers comprehensive mitral valve (MV) assessment capabilities.
  • Optimizing CMR imaging strategies is essential for accurate MV evaluation.

Purpose of the Study:

  • To develop a numerical simulation framework for investigating MRI imaging strategies for the mitral valve (MV).
  • To enable quantitative evaluation and direct comparison with ground truth data for MV imaging.
  • To support the optimization of cardiac valve image acquisition protocols.

Main Methods:

  • A pipeline combining 3D anatomical models with position-based dynamics simulation for MV closure.
  • Generation of synthetic cardiac MRI images using modality-specific intensity models and spatiotemporal sampling.
  • Testing of different imaging strategies, including image orientation (SAX, rLAX) and spatial sampling density.

Main Results:

  • Synthetic images generated using the framework show promising comparability with real acquired images.
  • Evaluation of MV segmentation accuracy against ground truth annotations.
  • The radial long-axis (rLAX) sampling strategy demonstrated preferable accuracy for MV assessment, outperforming literature values.

Conclusions:

  • The developed numerical simulation framework is a valuable tool for evaluating and optimizing cardiac valve MRI acquisition.
  • The study identifies the radial sampling strategy (rLAX) as the most suitable for mitral valve assessment using MRI.
  • This approach facilitates the advancement of quantitative cardiovascular magnetic resonance imaging.