Data-Driven Models and Signaling Networks for Cardiac Growth

Beschreibung

This study focuses on patient-specific calibration of cardiac mechanics models using a unique data set resembling pediatric cardiac development. The calibration is performed on a beating heart model as well as for a cardiac growth model, which uses the surface matching framework. Signaling networks model heart growth on a cellular level and are dynamically coupled to the heart growth model. Additionally, an image-based atlas construction method is used to develop a representative heart shape for broader applications.

Autor*in

Christian Bilas

Themen in »Data-Driven Models and Signaling Networks for Cardiac Growth«

cardiac growth data-driven signaling networks

Stimmen zu »Data-Driven Models and Signaling Networks for Cardiac Growth«

Details

Link teilen