Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging.

Background: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease.

Objective: This paper presents software methodology that can be used in combination with this imaging technique to provide additional information about the state of patient-specific artery.

Methods: Overall three modules are combined within the proposed methodology.