Development of 3D vision software for medical training: trainees’ assessment of learning effectiveness
Abstract This article presents a technological development that makes it possible to visualize the anatomy of the respiratory system in three dimensions (3D), embedded in magnetic resonance (MRI) serial sections in the coronal, sagittal, and axial planes. The relevant anatomical regions were delimited in the MRI sections with commercial software. This paper presents the opinion of students who have taken the subject of Human Anatomy on the use and management, for their learning, of interactive technological resources for the three-dimensional visualization of body structures. After the students had used a computer application developed by our working group, a satisfaction survey was presented to them to assess their interest in autonomous learning using this technological development. After the results were obtained, we can deduce that the students who used the interactive 3D vision application highlighted its high teaching value, as it is easy to use due to its intuitive interface. They considered this technological teaching resource to have a high degree of satisfaction in their teaching-learning process, given its 3D visual and dynamic nature. For all these reasons, the students considered using these resources to be very useful in their medical training, as opposed to the classic static anatomical atlases. Over the last few years, new technologies have significantly increased the number of applications in diagnostic imaging and medical training, specifically in the medical training in anatomy.
- Referencias
- Cómo citar
- Del mismo autor
- Métricas
Abildgaard, A., Witwit, A. K., Karlsen, J. S., Jacobsen, E. A., Tennoe, B., Ringstad, G., Due-Tønnessen, P. (2010) An autostereoscopic 3D display can improve visualization of 3D models from intracranial MR angiography. International Journal of Computer Assisted Radiology and Surgery. 5(5), 549–554. 10.1007/s11548-010-0509-5
AbouHashem, Y., Dayal, M., Savanah, S, & Štrkalj, G. (2015). The application of 3D printing in anatomy education. Medical Education Online, 20(1). 10.3402/meo.v20.29847
Adams, H., Shinn, J., Morrel, W. G., Noble, J., & Bodenheimer, B. (2019). Development and evaluation of an immersive virtual reality system for medical imaging of the ear. Proceedings Volume 10951, SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, 8 March 2019). 10.1117/12.2506178
Arraez-Aybar, L. A., Sanchez-Montesinos, I., Mirapeix, R.-M., Mompeo-Corredera, B., & Sanudo-Tejero, J.-R. (2010). Relevance of human anatomy in daily clinical practice. Annals of Anatomy-Anatomischer Anzeiger, 192(6), 341-348. 10.1016/j.aanat.2010.05.002
Asensio Romero, L., Asensio Gómez, M., Prats-Galino, A., & Juanes Méndez, J. A. (2018). 3D Models of Female Pelvis Structures Reconstructed and Represented in Combination with Anatomical and Radiological Sections—Journal of Medical Systems, 42(3), 37. 10.1007/s10916-018-0891-z
Blum, T., Kleeberger, V., Bichlmeier, C., & Navab, N. (2012). mirracle: Augmented Reality in-situ visualization of human anatomy using a magic mirror. In 2012 IEEE Virtual Reality Workshops (VRW) (Costa Mesa, CA, USA, 4-8 March 2012) (pp. 169-170). IEEE. 10.1109/VR.2012.6180934
Boonbrahm, P., Kaewrat, C., Pengkaew, P., Boonbrahm, S., & Meni, V. (2018). Study of the Hand Anatomy Using Real Hand and Augmented Reality. International Journal of Interactive Mobile Technologies, 12(7), 181-190. 10.3991/ijim.v12i7.9645
Gamsu, G., Webb, W. R., Sheldon, P., Kaufman, L., Crooks, L. E., Birnberg, F. A., Goodman, P., Hinchcliffe, W. A., & Hedgecock, M. (1983). Nuclear magnetic-resonance imaging of the thorax. Radiology, 147(2), 473–480. 10.1148/radiology.147.2.6836125
González-Izard, S., Juanes-Méndez, J. A., García-Peñalvo, F. J., Gonçalvez-Estella, J. M., Sánchez-Ledesma, M. J., & Ruisoto-Palomera, P. (2018). Virtual Reality as an Educational and Training Tool for Medicine. Journal of Medical Systems, 42, 50. 10.1007/s10916-018-0900-2
González-Izard, S., Sánchez Torres, R., Alonso Plaza, Ó., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2020). Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D model Visualization Platform Using Augmented and Virtual Reality. Sensors, 20(10), 2962. 10.3390/s20102962
Johnson, S., Jackson, B., Tourek, B., Molina, M., Erdman, A. G., & Keefe, D. F. (2016). Immersive Analytics for Medicine: Hybrid 2D/3D Sketch-Based Interfaces for Annotating Medical Data and Designing Medical Devices. In Proceedings of the 2016 ACM Companion on Interactive Surfaces and Spaces (Niagara Falls, Ontario, Canada, November 6-9, 2016) (pp. 107–113). Association for Computing Machinery. 10.1145/3009939.3009956
Malmberg, F., Nordenskjold, R., Strand, R., & Kullberg, J. (2017). SmartPaint: a tool for interactive segmentation of medical volume images. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 5(1), 36-44. 10.1080/21681163.2014.960535
Mavar-Haramija, M., Prats-Galino, A., Juanes Méndez, J. A., Puigdelivoll-Sánchez A., & de Notaris, M. (2015). Interactive 3D-PDF Presentations for the Simulation and Quantification of Extended Endoscopic Endonasal Surgical Approaches. Journal of Medical Systems, 39(10), 127. 10.1007/s10916-015-0282-7
McMenamin, P. G., Quayle, M. R., McHenry, C. R., & Adams, J. W. (2014). The Production of Anatomical Teaching Resources Using Three-Dimensional (3D) Printing Technology. Anatomical Sciences Education, 7(6), 479–486. 10.1002/ase.1475
Olabarriaga, S. D., & Smeulders, A. W. M. (2001). Interaction in the segmentation of medical images: A survey. Medical Image Analysis, 5(2), 127-142. 10.1016/S1361-8415(00)00041-4
Perandini, S., Faccioli, N., Zaccarella, A., Re, T., Mucelli, R. P. (2010). The diagnostic contribution of CT volumetric rendering techniques in routine practice. The Indian Journal of Radiology & Imaging, 20(2), 92-97. 10.4103/0971-3026.63043
Prats-Galino, A., Reina, M. A., Mavar-Haramija, M., Puigdellivol-Sánchez, A., Juanes Méndez, J. A., & de Andrés, J. A. (2015). 3D Interactive Model of Lumbar Spinal Structures of Anesthetic Interest. Clinical Anatomy, 28(2), 205-212. 10.1002/ca.22479
Preim, B., & Saalfeld P. (2018). A survey of virtual human anatomy education systems. Computers & Graphics, 71, 132-153. 10.1016/j.cag.2018.01.005
Robison, R. A., Liu, C. Y., & Apuzzo, M. L. J. (2011). Man, Mind, and Machine: The Past and Future of Virtual Reality Simulation in Neurologic Surgery. World Neurosurgery, 76(5), 419-430. 10.1016/j.wneu.2011.07.008
Shin, D. S., Jang, H. G., Hwang, S. B., Har, D.-H., Moon, Y. L., & Chung, M. S. (2013). Two-dimensional sectioned images and three-dimensional surface models for learning the anatomy of the female pelvis. Anatomical Sciences Education, 6(5), 316-323. 10.1002/ase.1342
Tabernero Rico, R. D., Juanes Méndez, J. A., & Prats Galino, A. (2017). New Generation of Three-Dimensional Tools to Learn Anatomy. Journal of Medical Systems, 41(5), 88. 10.1007/s10916-017-0725-4
Thompson, B. H., & Stanford, W. (2000). MR imaging of pulmonary and mediastinal malignancies. Magnetic resonance imaging clinics of North America, 8(4), 729–39. 10.1016/S1064-9689(21)00640-1
Venkatesh, V., Verdini, D., & Ghoshhajra, B. (2011). Normal Magnetic Resonance Imaging of the Thorax. Magnetic Resonance Imaging Clinics of North America, 19(3), 489-506. 10.1016/j.mric.2011.05.014
Webb, W. R., Gamsu, G., Stark, D. D., & Moore, E. H. (1984). Magnetic-resonance imaging of the normal and abnormal pulmonary hila. Radiology, 152(1), 89-94. 10.1148/radiology.152.1.6729141
AbouHashem, Y., Dayal, M., Savanah, S, & Štrkalj, G. (2015). The application of 3D printing in anatomy education. Medical Education Online, 20(1). 10.3402/meo.v20.29847
Adams, H., Shinn, J., Morrel, W. G., Noble, J., & Bodenheimer, B. (2019). Development and evaluation of an immersive virtual reality system for medical imaging of the ear. Proceedings Volume 10951, SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, 8 March 2019). 10.1117/12.2506178
Arraez-Aybar, L. A., Sanchez-Montesinos, I., Mirapeix, R.-M., Mompeo-Corredera, B., & Sanudo-Tejero, J.-R. (2010). Relevance of human anatomy in daily clinical practice. Annals of Anatomy-Anatomischer Anzeiger, 192(6), 341-348. 10.1016/j.aanat.2010.05.002
Asensio Romero, L., Asensio Gómez, M., Prats-Galino, A., & Juanes Méndez, J. A. (2018). 3D Models of Female Pelvis Structures Reconstructed and Represented in Combination with Anatomical and Radiological Sections—Journal of Medical Systems, 42(3), 37. 10.1007/s10916-018-0891-z
Blum, T., Kleeberger, V., Bichlmeier, C., & Navab, N. (2012). mirracle: Augmented Reality in-situ visualization of human anatomy using a magic mirror. In 2012 IEEE Virtual Reality Workshops (VRW) (Costa Mesa, CA, USA, 4-8 March 2012) (pp. 169-170). IEEE. 10.1109/VR.2012.6180934
Boonbrahm, P., Kaewrat, C., Pengkaew, P., Boonbrahm, S., & Meni, V. (2018). Study of the Hand Anatomy Using Real Hand and Augmented Reality. International Journal of Interactive Mobile Technologies, 12(7), 181-190. 10.3991/ijim.v12i7.9645
Gamsu, G., Webb, W. R., Sheldon, P., Kaufman, L., Crooks, L. E., Birnberg, F. A., Goodman, P., Hinchcliffe, W. A., & Hedgecock, M. (1983). Nuclear magnetic-resonance imaging of the thorax. Radiology, 147(2), 473–480. 10.1148/radiology.147.2.6836125
González-Izard, S., Juanes-Méndez, J. A., García-Peñalvo, F. J., Gonçalvez-Estella, J. M., Sánchez-Ledesma, M. J., & Ruisoto-Palomera, P. (2018). Virtual Reality as an Educational and Training Tool for Medicine. Journal of Medical Systems, 42, 50. 10.1007/s10916-018-0900-2
González-Izard, S., Sánchez Torres, R., Alonso Plaza, Ó., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2020). Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D model Visualization Platform Using Augmented and Virtual Reality. Sensors, 20(10), 2962. 10.3390/s20102962
Johnson, S., Jackson, B., Tourek, B., Molina, M., Erdman, A. G., & Keefe, D. F. (2016). Immersive Analytics for Medicine: Hybrid 2D/3D Sketch-Based Interfaces for Annotating Medical Data and Designing Medical Devices. In Proceedings of the 2016 ACM Companion on Interactive Surfaces and Spaces (Niagara Falls, Ontario, Canada, November 6-9, 2016) (pp. 107–113). Association for Computing Machinery. 10.1145/3009939.3009956
Malmberg, F., Nordenskjold, R., Strand, R., & Kullberg, J. (2017). SmartPaint: a tool for interactive segmentation of medical volume images. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 5(1), 36-44. 10.1080/21681163.2014.960535
Mavar-Haramija, M., Prats-Galino, A., Juanes Méndez, J. A., Puigdelivoll-Sánchez A., & de Notaris, M. (2015). Interactive 3D-PDF Presentations for the Simulation and Quantification of Extended Endoscopic Endonasal Surgical Approaches. Journal of Medical Systems, 39(10), 127. 10.1007/s10916-015-0282-7
McMenamin, P. G., Quayle, M. R., McHenry, C. R., & Adams, J. W. (2014). The Production of Anatomical Teaching Resources Using Three-Dimensional (3D) Printing Technology. Anatomical Sciences Education, 7(6), 479–486. 10.1002/ase.1475
Olabarriaga, S. D., & Smeulders, A. W. M. (2001). Interaction in the segmentation of medical images: A survey. Medical Image Analysis, 5(2), 127-142. 10.1016/S1361-8415(00)00041-4
Perandini, S., Faccioli, N., Zaccarella, A., Re, T., Mucelli, R. P. (2010). The diagnostic contribution of CT volumetric rendering techniques in routine practice. The Indian Journal of Radiology & Imaging, 20(2), 92-97. 10.4103/0971-3026.63043
Prats-Galino, A., Reina, M. A., Mavar-Haramija, M., Puigdellivol-Sánchez, A., Juanes Méndez, J. A., & de Andrés, J. A. (2015). 3D Interactive Model of Lumbar Spinal Structures of Anesthetic Interest. Clinical Anatomy, 28(2), 205-212. 10.1002/ca.22479
Preim, B., & Saalfeld P. (2018). A survey of virtual human anatomy education systems. Computers & Graphics, 71, 132-153. 10.1016/j.cag.2018.01.005
Robison, R. A., Liu, C. Y., & Apuzzo, M. L. J. (2011). Man, Mind, and Machine: The Past and Future of Virtual Reality Simulation in Neurologic Surgery. World Neurosurgery, 76(5), 419-430. 10.1016/j.wneu.2011.07.008
Shin, D. S., Jang, H. G., Hwang, S. B., Har, D.-H., Moon, Y. L., & Chung, M. S. (2013). Two-dimensional sectioned images and three-dimensional surface models for learning the anatomy of the female pelvis. Anatomical Sciences Education, 6(5), 316-323. 10.1002/ase.1342
Tabernero Rico, R. D., Juanes Méndez, J. A., & Prats Galino, A. (2017). New Generation of Three-Dimensional Tools to Learn Anatomy. Journal of Medical Systems, 41(5), 88. 10.1007/s10916-017-0725-4
Thompson, B. H., & Stanford, W. (2000). MR imaging of pulmonary and mediastinal malignancies. Magnetic resonance imaging clinics of North America, 8(4), 729–39. 10.1016/S1064-9689(21)00640-1
Venkatesh, V., Verdini, D., & Ghoshhajra, B. (2011). Normal Magnetic Resonance Imaging of the Thorax. Magnetic Resonance Imaging Clinics of North America, 19(3), 489-506. 10.1016/j.mric.2011.05.014
Webb, W. R., Gamsu, G., Stark, D. D., & Moore, E. H. (1984). Magnetic-resonance imaging of the normal and abnormal pulmonary hila. Radiology, 152(1), 89-94. 10.1148/radiology.152.1.6729141
Martín Izquierdo, M., Jiménez Lópeza, M. F., Prats-Galino, A., & Juanes Méndez, J. A. (2025). Development of 3D vision software for medical training: trainees’ assessment of learning effectiveness. Education in The Knowledge Society, 26, e32008. https://doi.org/10.14201/eks.32008
Downloads
Download data is not yet available.
Publication Facts
Metric
This article
Other articles
Peer reviewers
2
2.4
Reviewer profiles N/A
Author statements
Author statements
This article
Other articles
Data availability
N/A
16%
External funding
N/A
32%
Competing interests
N/A
11%
Metric
This journal
Other journals
Articles accepted
22%
33%
Days to publication
384
145
Indexed in
-
—
- Editor & editorial board
- profiles
- Academic society
- N/A
- Publisher
- Ediciones Universidad de Salamanca
To learn about these publication facts, click 
PF is maintained by the Public Knowledge Project
+
−