SlicerHeart

SlicerHeart extends 3D Slicer to process and model cardiac imaging, enabling analysis of three-dimensional echocardiographic (3DE) and multi-modality datasets for cardiac structure characterization and intervention planning.

Key Features:

• Integration with 3D Slicer: Built on the 3D Slicer framework to support importation, registration, and visualization of complex cardiac images.
• Python Scripted Modules: Includes multiple Python‑scripted modules for processing 3DE data, enabling volume rendering and cropping operations.
• Dedicated Workflows for Heart Modeling: Provides workflows for modeling and quantitative analysis of heart structures from multi‑modality imaging, including detailed modeling of heart valves.
• Facilitation of Cardiac Interventions: Incorporates functionalities for planning and simulation of cardiac interventions, including transcatheter device modeling and simulation of cardiac baffle creation.

Scientific Applications:

• Volume Rendering: Enables detailed volume rendering of 3DE images to visualize cardiac morphology and function.
• Mitral Valve Modeling: Facilitates creation and quantitative analysis of mitral valve models for valvular disease evaluation and planning.
• Transcatheter Device Modeling: Supports design and simulation of transcatheter devices used in minimally invasive cardiac procedures.
• Surgical Planning: Assists planning of complex surgical interventions through modeling and simulation of proposed procedures such as cardiac baffle creation.
• Congenital Heart Disease Analysis: Supports detailed investigation and modeling of congenital heart disease from 3D imaging datasets.

Methodology:

Implementation of new code and Python‑scripted modules within 3D Slicer to import, register, visualize, volume‑render, crop, and model three-dimensional echocardiographic (3DE) and multi‑modality cardiac imaging data.