Augmented reality-based learning for the comprehension of cardiac physiology in undergraduate biomedical students

González, Alexis A.; Lizana, Pablo A.; Pino, Sonia Sierra del; Miller, Brant G.; Merino, Cristian

doi:10.1152/advan.00137.2019

Cited by 22 publications

(23 citation statements)

References 37 publications

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“…The majority (9) of them were familiar with QLAB and used it at least weekly. Just over half (7) had never used VR, and the remaining 6 had used it twice or less; Procedure: A VR training session was conducted for each participant, until they were confident about the essential interactions, including: picking up, moving and placing scene objects (e.g., the volume, a landmark, the cropping plane), adjusting gain and contrast and controlling animation playback. Following that, each participant evaluated (1) image quality and (2) interaction.…”

Section: 2 and 223mentioning

confidence: 99%

A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures

et al. 2021

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The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper, we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multiplanar reformatting, flow visualisation and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation and multiuser interactions. The available features were evaluated by imaging and nonimaging clinicians, showing that the virtual reality system can help improve the understanding and communication of three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.

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Section: 2 and 223mentioning

confidence: 99%

A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures

et al. 2021

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“…Immersive Extended Reality (XR) technology, which includes Augmented Reality (AR), Virtual Reality and Mixed Reality (MR) has been proposed [4][5][6][7][8][9][10][11][12][13][14][15] to improve visualisation of, and interaction with, anatomical models of the heart for educational and medical applications.…”

Section: Related Workmentioning

confidence: 99%

“…Most educational systems use cardiac models that have been hand-crafted [4] to communicate a realistic looking, yet idealised from a structure perspective model of the heart, that can often be cropped to look at each part independently using VR [4,5] or as a mobile AR app [6,7]. These systems are targeted at teaching unspecific, idealised cardiac anatomy.…”

Section: Related Workmentioning

confidence: 99%

“…The majority (9) of them were familiar with QLAB and used it at least weekly. Just over half (7) had never used VR, and the remaining 6 had used it twice or less. Procedure: A VR training session was conducted for each participant, until they were confident of the essential interactions, including: picking-up, moving and placing scene objects (e.g.…”

Section: Clinical Usability and Immersive Experiencementioning

confidence: 99%

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A Virtual Reality System for Improved Image-based Planning of Complex Cardiac Procedures

Deng¹,

Wheeler²,

Toussaint³

et al. 2021

Preprint

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The intricate nature of congenital heart disease requires understanding of complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens and therefore display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multi-planar reformatting, flow visualisation, and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation, and multi-user interactions. The available features were evaluated by imaging and non-imaging clinicians, showing that the virtual reality system can help improve understanding and communication of the three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.

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“…During the 21st century, teachers are transforming the educational context with the support of technology (Salas-Rueda, 2020;Wargo, 2020;Wet, 2017). These changes are causing that students acquire a leading role during the learning process (Gonzalez et al, 2020;Kite et al, 2020;Strycker, 2020).…”

Section: Introductionmentioning

confidence: 99%

Use of the Collaborative Wall to Improve the Teaching-Learning Conditions in the Bachelor of Visual Arts

Salas-Rueda

Ramírez-Ortega

Eslava-Cervantes

2020

CONTEMP EDUC TECHNOL

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This mixed research analyzes the use of the Collaborative Wall to improve the teaching-learning conditions in the Bachelor of Visual Arts considering data science and machine learning (linear regression). The sample is made up of 46 students who took the Geometric Representation Systems course at the National Autonomous University of Mexico (UNAM) during the 2019 school year. The Collaborative Wall is a web application that facilitates the organization and dissemination of ideas through the use of images and text. In the classroom, the students formed teams and used mobile devices to access this web application. The results of machine learning indicate that the organization of ideas in the Collaborative Wall positively influences the participation of students, motivation and learning process. Data science identifies 3 predictive models about the use of this web application in the educational field. Also, the Collaborative Wall facilitates the learning process in the classroom through the comparison and discussion of information. Finally, technological advances allow organizing creative activities that favor the active role of students.

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Augmented reality-based learning for the comprehension of cardiac physiology in undergraduate biomedical students

Cited by 22 publications

References 37 publications

A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures

A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures

A Virtual Reality System for Improved Image-based Planning of Complex Cardiac Procedures

Use of the Collaborative Wall to Improve the Teaching-Learning Conditions in the Bachelor of Visual Arts

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