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Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. / Sujar Garrido, Aaron; Kelly, Graham; Garcia, Marcos et al.
In: International Journal of Computer Assisted Radiology and Surgery, Vol. 17, No. 1, 01.2022, p. 85-95.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Sujar Garrido, A, Kelly, G, Garcia, M & Vidal, F 2022, 'Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning', International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 1, pp. 85-95. https://doi.org/10.1007/s11548-021-02499-7

APA

Sujar Garrido, A., Kelly, G., Garcia, M., & Vidal, F. (2022). Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. International Journal of Computer Assisted Radiology and Surgery, 17(1), 85-95. https://doi.org/10.1007/s11548-021-02499-7

CBE

Sujar Garrido A, Kelly G, Garcia M, Vidal F. 2022. Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. International Journal of Computer Assisted Radiology and Surgery. 17(1):85-95. https://doi.org/10.1007/s11548-021-02499-7

MLA

Sujar Garrido, Aaron et al. "Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning". International Journal of Computer Assisted Radiology and Surgery. 2022, 17(1). 85-95. https://doi.org/10.1007/s11548-021-02499-7

VancouverVancouver

Sujar Garrido A, Kelly G, Garcia M, Vidal F. Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. International Journal of Computer Assisted Radiology and Surgery. 2022 Jan;17(1):85-95. Epub 2021 Oct 13. doi: 10.1007/s11548-021-02499-7

Author

Sujar Garrido, Aaron ; Kelly, Graham ; Garcia, Marcos et al. / Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. In: International Journal of Computer Assisted Radiology and Surgery. 2022 ; Vol. 17, No. 1. pp. 85-95.

RIS

TY - JOUR

T1 - Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning

AU - Sujar Garrido, Aaron

AU - Kelly, Graham

AU - Garcia, Marcos

AU - Vidal, Franck

N1 - This research has been partially funded by: the Spanish Government [TIN2017-83132-C2-1-R and FPU15/05747] and RaSimAS: Regional Anaesthesia Simulator and Assistant - FP7-ICT 610425, and Fly4PET: Fly Algorithm in PET Reconstruction for Radiotherapy Treatment Planning - FP7-PEOPLE-2012-CIG 321968]

PY - 2022/1

Y1 - 2022/1

N2 - PURPOSE: Traditional undergraduate radiographer training mixes academic lectures and clinical practice. Our goal is to bridge the current disconnection between theory and practice in a safe environment, avoiding the risk of radiation for both practitioners and patients. To this end, this research proposes a new software to teach diagnostic radiography using real-time interactive X-ray simulation and patient positioning.METHODS: The proposed medical simulator is composed of three main modules. A fast and accurate character animation technique is in charge of simulating the patient positioning phase and adapts their internal anatomy accordingly. gVirtualXRay is an open-source X-ray simulation library and generates the corresponding radiographs in real time. Finally, the courseware allows going through all the diagnostic radiology steps from the patient positioning and the machine configuration to the final image enhancing.RESULTS: A face and content validation study has been conducted; 18 radiology professionals were recruited to evaluate our software using a questionnaire. The results show that our tool is realistic in many ways (72% of the participants agreed that the simulations are visually realistic), useful (67%) and suitable (78%) for teaching X-ray radiography.CONCLUSIONS: The proposed tool allows simulating the most relevant steps of the projectional radiography procedure. The virtual patient posing system and X-ray simulation module execute at interactive rates. These features enable the lectures to show their students the results of good and bad practices in a classroom environment, avoiding radiation risk.

AB - PURPOSE: Traditional undergraduate radiographer training mixes academic lectures and clinical practice. Our goal is to bridge the current disconnection between theory and practice in a safe environment, avoiding the risk of radiation for both practitioners and patients. To this end, this research proposes a new software to teach diagnostic radiography using real-time interactive X-ray simulation and patient positioning.METHODS: The proposed medical simulator is composed of three main modules. A fast and accurate character animation technique is in charge of simulating the patient positioning phase and adapts their internal anatomy accordingly. gVirtualXRay is an open-source X-ray simulation library and generates the corresponding radiographs in real time. Finally, the courseware allows going through all the diagnostic radiology steps from the patient positioning and the machine configuration to the final image enhancing.RESULTS: A face and content validation study has been conducted; 18 radiology professionals were recruited to evaluate our software using a questionnaire. The results show that our tool is realistic in many ways (72% of the participants agreed that the simulations are visually realistic), useful (67%) and suitable (78%) for teaching X-ray radiography.CONCLUSIONS: The proposed tool allows simulating the most relevant steps of the projectional radiography procedure. The virtual patient posing system and X-ray simulation module execute at interactive rates. These features enable the lectures to show their students the results of good and bad practices in a classroom environment, avoiding radiation risk.

KW - Virtual Reality

KW - Medical Simulation

KW - X-rays

KW - Diagnostic Radiography

KW - Medical Diagnostic Imaging

KW - Training

U2 - 10.1007/s11548-021-02499-7

DO - 10.1007/s11548-021-02499-7

M3 - Article

C2 - 34643883

VL - 17

SP - 85

EP - 95

JO - International Journal of Computer Assisted Radiology and Surgery

JF - International Journal of Computer Assisted Radiology and Surgery

SN - 1861-6410

IS - 1

ER -