ReviewFrontiers in cardiovascular medicine2022
SlicerHeart: An open-source computing platform for cardiac image analysis and modeling.
Review in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
46 citing papers in PubMed, 37 citations in OpenAlex.
- Three-Dimensional Surgical Strategy Planning With 3D Slicer for Redo Coronary Artery Bypass Grafting After Acute Aortic Dissection Repair.Annals of thoracic surgery short reports · 2026Article
- Deep learning cone-beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects.Journal of periodontology · 2026Article
- A robotic simulation platform for fluoroscopy-guided catheter navigation in transcatheter tricuspid valve intervention: system development and proof-of-concept applications.Journal of robotic surgery · 2026Article
- Effect of Parametric Variation of Chordae Tendineae Structure on Simulated Atrioventricular Valve Closure.Annals of biomedical engineering · 2026Article
- Precision planning in congenital heart disease: the impact of 3D printing and virtual simulation.3D printing in medicine · 2026Article
- A Geometric Feature Tracking Approach for Noninvasive Patient-Specific Estimation of Leaflet Strain from 3D Images of Heart Valves.Annals of biomedical engineering · 2026Article
- 3D-driven alveolar ridge augmentation based on reverse planning: a retrospective case series study.BMC oral health · 2026Article
- Biomechanically Informed Image Registration for Patient-Specific Aortic Valve Strain Analysis.Annals of biomedical engineering · 2026Article
- Development and feasibility testing of a dynamic image-derived simulation framework for assessing left atrioventricular valve repair strategies.International journal of computer assisted radiology and surgery · 2026Article
- Simulation of Transcatheter Therapies for Atrioventricular Valve Regurgitation in an Open-Source Finite Element Simulation Framework.Annals of biomedical engineering · 2026Article
- Feasibility of 3D echocardiography-CT/CMR fusion to create atrioventricular valve-integrated 3D printed heart models in complex congenital heart disease: greater incremental benefit for surgeons than cardiac imagers.3D printing in medicine · 2026Article
- Biomechanically Informed Image Registration for Patient-Specific Aortic Valve Strain Analysis.ArXiv · 2026Article
- Rapid Visualization of Valves and Myocardium Using Volume Rendering of 3D Cardiac MRI, 4D Cine, and 4D Flow Images.Radiology. Cardiothoracic imaging · 2026Article
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- A pipeline for developing deep learning prognostic prediction models in cardiac magnetic resonance image analysis.European heart journal. Digital health · 2026Article
- Three-Dimensional Echocardiography in Congenital Heart Disease: Comparison with Pathologic Specimens-A Case Series.CASE (Philadelphia, Pa.) · 2025Article
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- Virtual Cath Lab: Versatile Open-Source Simulator for Education and Procedural Planning in Congenital Heart Interventions.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Article
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Corrections and comments
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Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
Abstract
Cardiovascular disease is a significant cause of morbidity and mortality in the developed world. 3D imaging of the heart's structure is critical to the understanding and treatment of cardiovascular disease. However, open-source tools for image analysis of cardiac images, particularly 3D echocardiographic (3DE) data, are limited. We describe the rationale, development, implementation, and application of SlicerHeart, a cardiac-focused toolkit for image analysis built upon 3D Slicer, an open-source image computing platform. We designed and implemented multiple Python scripted modules within 3D Slicer to import, register, and view 3DE data, including new code to volume render and crop 3DE. In addition, we developed dedicated workflows for the modeling and quantitative analysis of multi-modality image-derived heart models, including heart valves. Finally, we created and integrated new functionality to facilitate the planning of cardiac interventions and surgery. We demonstrate application of SlicerHeart to a diverse range of cardiovascular modeling and simulation including volume rendering of 3DE images, mitral valve modeling, transcatheter device modeling, and planning of complex surgical intervention such as cardiac baffle creation. SlicerHeart is an evolving open-source image processing platform based on 3D Slicer initiated to support the investigation and treatment of congenital heart disease. The technology in SlicerHeart provides a robust foundation for 3D image-based investigation in cardiovascular medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.