Solution
Anatomical digital twinning
Create high-fidelity anatomical models of the heart and torso including the complex structural tissue characteristics to gain insight for device deployment and procedural planning, and to quantitatively assess the impact of device therapies on cardiac function.
Challenges
Generating full-scale, high-fidelity image-based anatomical twins can be a real challenge, often involving multiple stages with a high level of human interaction. This can make research and development a slow and expensive process.
In silico experiments demand high quality and physically optimised meshes
Several important anatomical structures are invisible to current imaging technology (e.g. myocardial fibers, Purkinje system)
Fast and cost-effective creation of high-fidelity anatomical models
Solutions
AI-Based segmentation of clinical images
Our auto-segmentation software is powered by Artificial Intelligence (AI) technology using advanced Machine Learning (ML) algorithms. It delivers
Support of different modalities and imaging protocols
Highly-detailed augmented anatomical models
We offer automated frameworks to create accurate ready-to-use anatomical digital twins, including structural heterogeneity, in minutes.
Automated and efficient generation of anatomies suitable for cardiac electrophysiology and mechanics simulations
Anatomical model augmentation with electrical conduction system (e.g. inter-atrial bundles, Purkinje system) and myocardial fibers
Tissue substrate modifications (e.g. infarct scars or fibrosis) incorporated from clinical images and in-house statistical models
NumeriCor’s proprietary technology covers all stages of cardiac in-silico experiments, from model generation to cardiac simulation, and result visualization. NumeriCor’s core products consists in CARPentry PRO, a cutting-edge simulation engine, and CARPentry Studio, the ultimate end-to-end cardiac simulation graphical interface. NumeriCor offers various possibilities to collaborate with our team of experts, providing you the opportunity to work together to improve your technology.