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

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INNOSUISSE

Numéro de projet

25540.1 PFLS-LS

Titre du projet

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

Textes relatifs à ce projet

	Allemand	Français	Italien	Anglais
Description succincte		-	-	-
Résumé des résultats (Abstract)		-	-	-

Textes saisis

Catégorie	Texte
Description succincte (Allemand)	MoCaFrame: Monte-Carlo Simulation with Content Generation Framework or Application-Independent Ultrasound Training on Virtual-Patients
Résumé des résultats (Abstract) (Allemand)	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.

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Texte

Description succincte
(Allemand)

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

Résumé des résultats (Abstract)
(Allemand)

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.