EchoSim4D: A Proof-of-Concept Gamified XR Echocardiography Training Simulator for Neonates using 4D Ultrasound Volume

Fuente: arXiv
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Auteurs principaux: Jose, Deepthy Rose, Sundaram, Venkataseshan, Manivannan, M
Format: Preprint
Publié: 2024
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author Jose, Deepthy Rose
Sundaram, Venkataseshan
Manivannan, M
author_facet Jose, Deepthy Rose
Sundaram, Venkataseshan
Manivannan, M
contents Neonatal echocardiography is vital for early detection of heart anomalies in newborns, enabling timely, non-invasive interventions where 4D ultrasound, adds the dimension of time to 3D imaging, enhances diagnostic capabilities by visualizing real-time heart dynamics. However, training for 4D neonatal echocardiography is limited by the lack of simulators that support 4D Ultrasound volume visualization within gamified environments. This paper introduces EchoSim4D, an XR-based simulator leveraging novel pipeline for visualizing 4D volume data in Unity, incorporating real-time volume reconstruction, and a preloaded version optimized for low-end systems. EchoSim4D integrates a sensor-equipped manikin and a custom 3D-printed transducer with a 6-DOF sensor, replicating the precise probe maneuvers necessary for neonatal echocardiography. In a validation study with postgraduate medical students (0-5 years of experience), supervised by a domain expert, EchoSim4D demonstrated high visual fidelity and training efficacy. Findings suggest that 4D visualization techniques hold significant potential for advancing medical training in neonatal echocardiography.
format Preprint
id arxiv_https___arxiv_org_abs_2412_06271
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle EchoSim4D: A Proof-of-Concept Gamified XR Echocardiography Training Simulator for Neonates using 4D Ultrasound Volume
Jose, Deepthy Rose
Sundaram, Venkataseshan
Manivannan, M
Human-Computer Interaction
Image and Video Processing
Neonatal echocardiography is vital for early detection of heart anomalies in newborns, enabling timely, non-invasive interventions where 4D ultrasound, adds the dimension of time to 3D imaging, enhances diagnostic capabilities by visualizing real-time heart dynamics. However, training for 4D neonatal echocardiography is limited by the lack of simulators that support 4D Ultrasound volume visualization within gamified environments. This paper introduces EchoSim4D, an XR-based simulator leveraging novel pipeline for visualizing 4D volume data in Unity, incorporating real-time volume reconstruction, and a preloaded version optimized for low-end systems. EchoSim4D integrates a sensor-equipped manikin and a custom 3D-printed transducer with a 6-DOF sensor, replicating the precise probe maneuvers necessary for neonatal echocardiography. In a validation study with postgraduate medical students (0-5 years of experience), supervised by a domain expert, EchoSim4D demonstrated high visual fidelity and training efficacy. Findings suggest that 4D visualization techniques hold significant potential for advancing medical training in neonatal echocardiography.
title EchoSim4D: A Proof-of-Concept Gamified XR Echocardiography Training Simulator for Neonates using 4D Ultrasound Volume
topic Human-Computer Interaction
Image and Video Processing
url https://arxiv.org/abs/2412.06271