lvdatamap

lvdatamap constructs patient-specific left ventricular (LV) geometric models by integrating multimodal cardiac imaging (late gadolinium enhancement (LGE) MRI and displacement encoding with stimulated echoes (DENSE) MRI) to map postinfarction scar and mechanical activation for personalized cardiac assessment.

Key Features:

• Integration of multimodal imaging: Combines datasets from late gadolinium enhancement (LGE) MRI and displacement encoding with stimulated echoes (DENSE) MRI onto a common LV geometry.
• Prolate spheroidal coordinate system: Uses a prolate spheroidal coordinate system to interpolate and map imaging-derived quantities onto the LV geometry.
• Postinfarction scar mapping: Maps postinfarction scar segmented from LGE MRI onto the LV model.
• Mechanical activation mapping: Maps mechanical activation patterns derived from DENSE MRI displacement fields onto the LV model.
• Computational routines for integration and visualization: Provides algorithms for interpolation, data integration, and visualization of multimodal imaging on the LV geometry.

Scientific Applications:

• Predictive modeling: Enables patient-specific prediction of clinical outcomes after infarction or interventions using detailed LV structural and functional maps.
• Therapeutic planning: Supports tailoring therapies by providing spatial maps of scar and mechanical activation to inform intervention planning.
• Cardiac research: Facilitates study of cardiac structure-function relationships and postinfarction remodeling using integrated imaging-derived LV models.

Methodology:

Uses a prolate spheroidal coordinate system to interpolate and map segmented postinfarction scar from late gadolinium enhancement (LGE) MRI and mechanical activation derived from displacement encoding with stimulated echoes (DENSE) MRI, with computational routines for data integration and visualization.