MoCaFrame: Monte-Carlo Simulation with Content Generation Framework or Application-Independent Ultrasound Training on Virtual-Patients

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Forschungsstelle

INNOSUISSE

Projektnummer

25540.1 PFLS-LS

Projekttitel

MoCaFrame: Monte-Carlo Simulation with Content Generation Framework or Application-Independent Ultrasound Training on Virtual-Patients

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung		-	-	-
Abstract		-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Deutsch)	MoCaFrame: Monte-Carlo Simulation with Content Generation Framework or Application-Independent Ultrasound Training on Virtual-Patients
Abstract (Deutsch)	Successful application of medical ultrasound requires substantial training. We have recently established Monte-Carlo rendering as the state-of-the-art in model-based ultrasound simulation. We also demonstrated pre-acquired image volumes to provide excellent realism, for targeted applications in OB/GYN. Herein, we aim to combine these two techniques to leverage the benefits of both, while developing a generic content generation framework in order to streamline extensions of our training technology to a wide range of ultrasound applications.

Kategorie

Text

Kurzbeschreibung
(Deutsch)

MoCaFrame: Monte-Carlo Simulation with Content Generation Framework or Application-Independent Ultrasound Training on Virtual-Patients

Abstract
(Deutsch)

Successful application of medical ultrasound requires substantial training. We have recently established Monte-Carlo rendering as the state-of-the-art in model-based ultrasound simulation. We also demonstrated pre-acquired image volumes to provide excellent realism, for targeted applications in OB/GYN. Herein, we aim to combine these two techniques to leverage the benefits of both, while developing a generic content generation framework in order to streamline extensions of our training technology to a wide range of ultrasound applications.