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.