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In Silico Clinical Trials for Cardiovascular Disease
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SlicerHeart: An open-source computing platform for cardiac image analysis and modeling.

Andras Lasso1, Christian Herz2, Hannah Nam2

  • 1Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, Canada.

Frontiers in Cardiovascular Medicine
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

SlicerHeart is a new open-source toolkit for 3D cardiac image analysis, addressing limitations in current tools. It enables advanced modeling, quantitative analysis, and surgical planning for cardiovascular diseases.

Keywords:
3D echocardiography (3DE)cardiac valvescomputer modeling (simulation)image-based modelingopen-sourcepediatric cardiology and surgery

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Area of Science:

  • Medical Imaging
  • Computational Biology
  • Cardiovascular Medicine

Background:

  • Cardiovascular diseases are a leading cause of death globally.
  • Accurate 3D imaging of heart structure is crucial for diagnosis and treatment.
  • Limited open-source tools exist for analyzing 3D echocardiographic (3DE) cardiac data.

Purpose of the Study:

  • To develop and present SlicerHeart, an open-source toolkit for cardiac image analysis.
  • To provide enhanced capabilities for 3D echocardiographic data processing and cardiovascular modeling.
  • To support the planning and execution of cardiac interventions and surgeries.

Main Methods:

  • Developed SlicerHeart as a toolkit within the 3D Slicer platform.
  • Implemented Python scripted modules for importing, registering, and viewing 3DE data.
  • Created workflows for multi-modality image-derived heart model analysis and surgical planning.

Main Results:

  • Successfully imported, registered, and visualized 3DE data with new volume rendering and cropping functionalities.
  • Developed dedicated workflows for quantitative analysis of heart models, including valves.
  • Demonstrated applications in mitral valve modeling, transcatheter device modeling, and surgical planning for complex interventions.

Conclusions:

  • SlicerHeart offers a robust, open-source solution for 3D image-based cardiovascular investigation.
  • The toolkit enhances the analysis of 3DE data and supports advanced cardiovascular modeling.
  • It provides a foundation for research and clinical applications in congenital heart disease and other cardiovascular conditions.