We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3DSlicerApp that has now been downloaded over 44,000 times. https://t.co/yCkjB0OCmm https://t.co/910yhVFNMx
SlicerHeart: An open-source computing platform for cardiac image analysis and modeling.
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Sep 2022 – Jul 2024Where it's discussed
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X / Twitter19 posts
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YouTube4 videos
AI synopsis
What people are saying
The discussions showcase strong enthusiasm and detailed technical engagement with SlicerHeart, as seen in remarks about new modules like Valve Annulus Analysis and Valve Segmentation, and the high download count of over 44,000, demonstrating both user interest and the platform's potential for advancing cardiac treatment and research.
Most discussions express enthusiasm and support for SlicerHeart's capabilities and contributions to cardiac imaging and modeling.
Posts highlight the platform's innovative features and extensive applications, indicating high interest.
Many discussions include technical details, module descriptions, and references to demonstrations, showing deep engagement.
The widespread downloads, multiple module advancements, and emphasis on the potential for improving cardiovascular research reflect significant impact.
Abstract in brief
- SlicerHeart is an open-source toolkit built on the 3D Slicer platform designed to improve the analysis, modeling, and treatment planning of cardiovascular diseases using 3D heart imaging, especially 3D echocardiography data.
- It includes various Python modules for importing, viewing, volume rendering, and cropping cardiac images, as well as workflows for creating detailed heart models and performing quantitative analysis, such as modeling valves and planning surgeries.
- The platform has been used for applications like visualizing heart structures, modeling mitral valves, planning transcatheter procedures, and designing complex surgical interventions, making it a valuable resource for advancing cardiovascular research and treatment.]
Top posts
Most liked on X and BlueskyTwo new #SlicerHeart modules, Valve Annulus Analysis and Valve Segmentation, facilitate the creation of annular curves and valve leaflet segmentations in @3DSlicerApp. For a complete overview, visit the JolleyLab on YouTube. https://t.co/9lP30Mg6yL https://t.co/BEHR7JmYQ3
After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, & Valve Papillary Analysis modules make full valve quantification easy in @3DSlicerApp. Visit the Jolley Lab on YouTube to see more! https://t.co/2G48t7QnSt https://t.co/iq0guBazK5
RT @SIwa23288585:
New Research: SlicerHeart: An open-source computing platform for cardiac image analysis and modeling: Cardiovascular disease is a significant cause of morbidity and mortality in the developed world. 3D imaging of the heart's structure is… https://t.co/2f869V86Hd #cardiovascular
All mentions
Enhanced Annular Modeling and Valve Segmentation in 3D Slicer
Data Import and Visualization in 3D Slicer for Cardiac Imaging
This video demonstrates data import and visualization capabilities in 3D Slicer, including conversion of 3D echo images, DICOM data export, and integration of various vendor formats, supporting detailed cardiac image…
3D Echo Visualization and Cropping with SlicerHeart Module in 3D Slicer
SlicerHeart, an extension for 3D Slicer, supports 3D echo image visualization with customizable rendering and cropping tools, aiding in cardiovascular investigation and treatment planning.
Valve Quantification in 3D Slicer Using SlicerHeart Platform
SlicerHeart, an open-source extension for 3D Slicer, supports investigation and treatment of congenital heart disease. This video demonstrates mitral valve quantification including leaflet surface extraction, coaptation…
RT @JolleyLab: After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, &…
RT @JolleyLab: We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3…
RT @SIwa23288585:
RT @JolleyLab: After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, &…
RT @JolleyLab: Two new #SlicerHeart modules, Valve Annulus Analysis and Valve Segmentation, facilitate the creation of annular curves and v…
RT @JolleyLab: After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, &…
RT @JolleyLab: After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, &…
After annular curve creation and valve leaflet segmentation, the new #SlicerHeart Leaflet Analysis, Valve Quantification, & Valve Papillary Analysis modules make full valve quantification easy in @3DSlicerApp. Visit the Jolley Lab on YouTube to see more! https://t.co/2G48t7QnSt https://t.co/iq0guBazK5
RT @JolleyLab: Two new #SlicerHeart modules, Valve Annulus Analysis and Valve Segmentation, facilitate the creation of annular curves and v…
RT @JolleyLab: Two new #SlicerHeart modules, Valve Annulus Analysis and Valve Segmentation, facilitate the creation of annular curves and v…
Two new #SlicerHeart modules, Valve Annulus Analysis and Valve Segmentation, facilitate the creation of annular curves and valve leaflet segmentations in @3DSlicerApp. For a complete overview, visit the JolleyLab on YouTube. https://t.co/9lP30Mg6yL https://t.co/BEHR7JmYQ3
Andras Lasso: SlicerHeart: An open-source computing platform for cardiac image analysis and modeling https://t.co/rMpzRVhTEZ
RT @JolleyLab: We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3…
RT @JolleyLab: We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3…
RT @JolleyLab: We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3…
RT @JolleyLab: We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3…
We are thrilled to publish our description of #SlicerHeart, a open source, cardiac-focused image processing extension for @3DSlicerApp that has now been downloaded over 44,000 times. https://t.co/yCkjB0OCmm https://t.co/910yhVFNMx
New Research: SlicerHeart: An open-source computing platform for cardiac image analysis and modeling: Cardiovascular disease is a significant cause of morbidity and mortality in the developed world. 3D imaging of the heart's structure is… https://t.co/2f869V86Hd #cardiovascular
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