LVentiView: An Open-Source Software for Automated 3D Left Ventricular Mesh Reconstruction and Analysis from Cardiac MRI
Patient-specific cardiac modeling requires accurate three-dimensional representations of the left ventricle (LV) reconstructed from cardiac magnetic resonance imaging (MRI). Here, we present LVentiView, an open-source software that bridges medical imaging and cardiac simulation by automating the full pipeline from MRI segmentation to simulation-ready volumetric meshes, with integrated tools for volumetric analysis and regional myocardial thickness calculation. We validate LVentiView on the Sunnybrook Cardiac Dataset, comprising healthy subjects and three cardiac pathologies. LVentiView achieves blood pool segmentation at the inter-expert level. The generated meshes are verified by comparing LV volumes extracted from the meshes to those computed from expert manual segmentation masks, with volumes and cardiac parameters agreeing within inter-expert variability across all four cardiac pathologies. In addition, mesh-derived regional thickness maps capture pathology-specific patterns, including wall thickening in hypertrophic cases. LVentiView is freely available on GitHub and provides an accessible, validated foundation for patient-specific cardiac modeling. HighlightsO_LILVentiView automates the full pipeline from MRI segmentation to simulation-ready meshes. C_LIO_LIMesh-derived cardiac volumes and parameters match expert manual segmentation accuracy. C_LIO_LIThickness maps capture pathology-specific patterns, validating geometrical fidelity. C_LIO_LISegmentation runs at {approx} 0.07 s per slice; meshing under 3 min per frame. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/727166v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@f10d08org.highwire.dtl.DTLVardef@18eab94org.highwire.dtl.DTLVardef@1a298e9org.highwire.dtl.DTLVardef@1e52347_HPS_FORMAT_FIGEXP M_FIG C_FIG