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Hu Y, Limaye A, Lu J. 3D revisualization: a new method to revisit segmented data. ROYAL SOCIETY OPEN SCIENCE 2024; 11:240375. [PMID: 39100145 PMCID: PMC11296200 DOI: 10.1098/rsos.240375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 08/06/2024]
Abstract
3D visualization and segmentation are increasingly widely used in physical, biological and medical science, facilitating advanced investigative methodologies. However, the integration and reproduction of segmented volumes or results across the spectrum of mainstream 3D visualization platforms remain hindered by compatibility constraints. These barriers not only challenge the replication of findings but also obstruct the process of cross-validating the accuracy of 3D visualization outputs. To address this gap, we developed an innovative revisualization method implemented within the open-source framework of Drishti, a 3D visualization software. Leveraging four animal samples alongside three mainstream 3D visualization platforms as case studies, our method demonstrates the seamless transferability of segmented results into Drishti. This capability effectively fosters a new avenue for authentication and enhanced scrutiny of segmented data. By facilitating this interoperability, our approach underscores the potential for significant advancements in accuracy validation and collaborative research efforts across diverse scientific domains.
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Affiliation(s)
- Yuzhi Hu
- CT Lab, Department of Materials Physics, Research School of Physics, Australian National University, Canberra, ACT2601, Australia
| | - Ajay Limaye
- National Computational Infrastructure, Building 143, Corner of Ward Road and Garran 7 Road, Ward Rd, Canberra, ACT2601, Australia
| | - Jing Lu
- Key Laboratory of Vertebrate Evolution & Human Origins of China, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing100044, People’s Republic of China
- CAS Center for Excellence in Life & Paleoenvironment, Chinese Academy of Science, Beijing100044, People’s Republic of China
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Adnan S, Xiao J. A scoping review on the trends of digital anatomy education. Clin Anat 2023; 36:471-491. [PMID: 36583721 DOI: 10.1002/ca.23995] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/31/2022]
Abstract
Digital technologies are changing the landscape of anatomy education. To reveal the trend of digital anatomy education across medical science disciplines, searches were performed using PubMed, EMBASE, and MEDLINE bibliographic databases for research articles published from January 2010 to June 2021 (inclusive). The search was restricted to publications written in English language and to articles describing teaching tools in undergraduate and postgraduate anatomy and pre-vocational clinical anatomy training courses. Among 156 included studies across six health disciplines, 35% used three-dimensional (3D) digital printing tools, 24.2% augmented reality (AR), 22.3% virtual reality (VR), 11.5% web-based programs, and 4.5% tablet-based apps. There was a clear discipline-dependent preference in the choice and employment of digital anatomy education. AR and VR were the more commonly adopted digital tools for medical and surgical anatomy education, while 3D printing is more broadly used for nursing, allied health and dental health education compared to other digital resources. Digital modalities were predominantly adopted for applied interactive anatomy education and primarily in advanced anatomy curricula such as regional anatomy and neuroanatomy. Moreover, there was a steep increase in VR anatomy combining digital simulation for surgical anatomy training. There is a consistent increase in the adoption of digital modalities in anatomy education across all included health disciplines. AR and VR anatomy incorporating digital simulation will play a more prominent role in medical education of the future. Combining multimodal digital resources that supports blended and interactive learning will further modernize anatomy education, moving medical education further away from its didactic history.
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Affiliation(s)
- Sharmeen Adnan
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Junhua Xiao
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia.,School of Allied Health, La Trobe University, Bundoora, Australia
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Santos VA, Barreira MP, Saad KR. Technological resources for teaching and learning about human anatomy in the medical course: Systematic review of literature. ANATOMICAL SCIENCES EDUCATION 2022; 15:403-419. [PMID: 34664384 DOI: 10.1002/ase.2142] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
The consolidation of technology as an alternative strategy to cadaveric dissection for teaching anatomy in medical courses was accelerated by the recent Covid-19 pandemic, which caused the need for social distance policies and the closure of laboratories and classrooms. Consequently, new technologies were created, and those already been developed started to be better explored. However, information about many of these instruments and resources is not available to anatomy teachers. This systematic review presents the technological means for teaching and learning about human anatomy developed and applied in medical courses in the last ten years, besides the infrastructure necessary to use them. Studies in English, Portuguese, and Spanish were searched in MEDLINE, Scopus, ERIC, LILACS, and SciELO databases, initially resulting in a total of 875 identified articles, from which 102 were included in the analysis. They were classified according to the type of technology used: three-dimensional (3D) printing (n = 22), extended reality (n = 49), digital tools (n = 23), and other technological resources (n = 8). It was made a detailed description of technologies, including the stage of the medical curriculum in which it was applied, the infrastructure utilized, and which contents were covered. The analysis shows that between all technologies, those related to the internet and 3D printing are the most applicable, both in student learning and the financial cost necessary for its structural implementation.
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Affiliation(s)
- Vinícius A Santos
- School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
| | - Matheus P Barreira
- School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
| | - Karen R Saad
- Department of Morphology, School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
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Jiang H, Vimalesvaran S, Wang JK, Lim KB, Mogali SR, Car LT. Virtual Reality in Medical Students' Education: Scoping Review. JMIR MEDICAL EDUCATION 2022; 8:e34860. [PMID: 35107421 PMCID: PMC8851326 DOI: 10.2196/34860] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/25/2021] [Accepted: 12/30/2021] [Indexed: 05/12/2023]
Abstract
BACKGROUND Virtual reality (VR) produces a virtual manifestation of the real world and has been shown to be useful as a digital education modality. As VR encompasses different modalities, tools, and applications, there is a need to explore how VR has been used in medical education. OBJECTIVE The objective of this scoping review is to map existing research on the use of VR in undergraduate medical education and to identify areas of future research. METHODS We performed a search of 4 bibliographic databases in December 2020. Data were extracted using a standardized data extraction form. The study was conducted according to the Joanna Briggs Institute methodology for scoping reviews and reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. RESULTS Of the 114 included studies, 69 (60.5%) reported the use of commercially available surgical VR simulators. Other VR modalities included 3D models (15/114, 13.2%) and virtual worlds (20/114, 17.5%), which were mainly used for anatomy education. Most of the VR modalities included were semi-immersive (68/114, 59.6%) and were of high interactivity (79/114, 69.3%). There is limited evidence on the use of more novel VR modalities, such as mobile VR and virtual dissection tables (8/114, 7%), as well as the use of VR for nonsurgical and nonpsychomotor skills training (20/114, 17.5%) or in a group setting (16/114, 14%). Only 2.6% (3/114) of the studies reported the use of conceptual frameworks or theories in the design of VR. CONCLUSIONS Despite the extensive research available on VR in medical education, there continue to be important gaps in the evidence. Future studies should explore the use of VR for the development of nonpsychomotor skills and in areas other than surgery and anatomy. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2020-046986.
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Affiliation(s)
- Haowen Jiang
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Sunitha Vimalesvaran
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Jeremy King Wang
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Kee Boon Lim
- School of Biological Sciences, Nanyang Technological University Singapore, Singapore, Singapore
| | | | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
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Darici D, Reissner C, Brockhaus J, Missler M. Implementation of a fully digital histology course in the anatomical teaching curriculum during COVID-19 pandemic. Ann Anat 2021; 236:151718. [PMID: 33675948 PMCID: PMC8739541 DOI: 10.1016/j.aanat.2021.151718] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 02/11/2021] [Accepted: 02/11/2021] [Indexed: 02/07/2023]
Affiliation(s)
- D Darici
- Institute of Anatomy and Molecular Neurobiology, Westfälische-Wilhelms-University, Vesaliusweg 2-4, 48149 Münster, Germany.
| | - C Reissner
- Institute of Anatomy and Molecular Neurobiology, Westfälische-Wilhelms-University, Vesaliusweg 2-4, 48149 Münster, Germany
| | - J Brockhaus
- Institute of Anatomy and Molecular Neurobiology, Westfälische-Wilhelms-University, Vesaliusweg 2-4, 48149 Münster, Germany
| | - M Missler
- Institute of Anatomy and Molecular Neurobiology, Westfälische-Wilhelms-University, Vesaliusweg 2-4, 48149 Münster, Germany.
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Hu Y, Limaye A, Lu J. Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments. ROYAL SOCIETY OPEN SCIENCE 2020; 7:201033. [PMID: 33489265 PMCID: PMC7813226 DOI: 10.1098/rsos.201033] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/24/2020] [Indexed: 05/14/2023]
Abstract
Computed tomography (CT) has become very widely used in scientific and medical research and industry for its non-destructive and high-resolution means of detecting internal structure. Three-dimensional segmentation of computed tomography data sheds light on internal features of target objects. Three-dimensional segmentation of CT data is supported by various well-established software programs, but the powerful functionalities and capabilities of open-source software have not been fully revealed. Here, we present a new release of the open-source volume exploration, rendering and three-dimensional segmentation software, Drishti v. 2.7. We introduce a new tool for thresholding volume data (i.e. gradient thresholding) and a protocol for performing three-dimensional segmentation using the 3D Freeform Painter tool. These new tools and workflow enable more accurate and precise digital reconstruction, three-dimensional modelling and three-dimensional printing results. We use scan data of a fossil fish as a case study, but our procedure is widely applicable in biological, medical and industrial research.
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Affiliation(s)
- Yuzhi Hu
- Department of Applied Mathematics, Research School of Physics, Australian National University, Canberra, ACT 2601, Australia
- Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia
| | - Ajay Limaye
- National Computational Infrastructure, Building 143, Corner of Ward Road and Garran Road, Ward Rd, Canberra, ACT 2601, Australia
| | - Jing Lu
- Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, People's Republic of China
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Pather N, Blyth P, Chapman JA, Dayal MR, Flack NA, Fogg QA, Green RA, Hulme AK, Johnson IP, Meyer AJ, Morley JW, Shortland PJ, Štrkalj G, Štrkalj M, Valter K, Webb AL, Woodley SJ, Lazarus MD. Forced Disruption of Anatomy Education in Australia and New Zealand: An Acute Response to the Covid-19 Pandemic. ANATOMICAL SCIENCES EDUCATION 2020; 13:284-300. [PMID: 32306555 PMCID: PMC7264523 DOI: 10.1002/ase.1968] [Citation(s) in RCA: 219] [Impact Index Per Article: 54.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 05/03/2023]
Abstract
Australian and New Zealand universities commenced a new academic year in February/March 2020 largely with "business as usual." The subsequent Covid-19 pandemic imposed unexpected disruptions to anatomical educational practice. Rapid change occurred due to government-imposed physical distancing regulations from March 2020 that increasingly restricted anatomy laboratory teaching practices. Anatomy educators in both these countries were mobilized to adjust their teaching approaches. This study on anatomy education disruption at pandemic onset within Australia and New Zealand adopts a social constructivist lens. The research question was "What are the perceived disruptions and changes made to anatomy education in Australia and New Zealand during the initial period of the Covid-19 pandemic, as reflected on by anatomy educators?." Thematic analysis to elucidate "the what and why" of anatomy education was applied to these reflections. About 18 anatomy academics from ten institutions participated in this exercise. The analysis revealed loss of integrated "hands-on" experiences, and impacts on workload, traditional roles, students, pedagogy, and anatomists' personal educational philosophies. The key opportunities recognized for anatomy education included: enabling synchronous teaching across remote sites, expanding offerings into the remote learning space, and embracing new pedagogies. In managing anatomy education's transition in response to the pandemic, six critical elements were identified: community care, clear communications, clarified expectations, constructive alignment, community of practice, ability to compromise, and adapt and continuity planning. There is no doubt that anatomy education has stepped into a yet unknown future in the island countries of Australia and New Zealand.
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Affiliation(s)
- Nalini Pather
- Department of Anatomy EducationSchool of Medical SciencesFaculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Phil Blyth
- Department of AnatomySchool of Biomedical SciencesUniversity of OtagoDunedinNew Zealand
| | - Jamie A. Chapman
- Tasmanian School of MedicineCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
| | - Manisha R. Dayal
- School of ScienceWestern Sydney UniversitySydneyNew South WalesAustralia
| | - Natasha A.M.S. Flack
- Department of AnatomySchool of Biomedical SciencesUniversity of OtagoDunedinNew Zealand
| | - Quentin A. Fogg
- Department of Anatomy and NeuroscienceSchool of Biomedical SciencesThe University of MelbourneMelbourneVictoriaAustralia
| | - Rodney A. Green
- Department of Pharmacy and Biomedical Sciences, College of Science, Health and EngineeringLa Trobe UniversityBendigoVictoriaAustralia
| | - Anneliese K. Hulme
- Department of Anatomy EducationSchool of Medical SciencesFaculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Ian P. Johnson
- Department of Biomedical SciencesFaculty of Medicine, Health and Human SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Amanda J. Meyer
- School of Human SciencesFaculty of ScienceThe University of Western AustraliaPerthWestern AustraliaAustralia
| | - John W. Morley
- School of MedicineWestern Sydney UniversitySydneyNew South WalesAustralia
| | - Peter J. Shortland
- School of ScienceWestern Sydney UniversitySydneyNew South WalesAustralia
| | - Goran Štrkalj
- Department of Anatomy EducationSchool of Medical SciencesFaculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Mirjana Štrkalj
- Department of Biomedical SciencesFaculty of Medicine, Health and Human SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Krisztina Valter
- Medical Education UnitMedical SchoolCollege of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Alexandra L. Webb
- Medical Education UnitMedical SchoolCollege of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Stephanie J. Woodley
- Department of AnatomySchool of Biomedical SciencesUniversity of OtagoDunedinNew Zealand
| | - Michelle D. Lazarus
- Centre for Human Anatomy EducationDepartment of Anatomy and Developmental BiologyFaculty of Medicine Nursing and Health SciencesMonash UniversityMelbourneVictoriaAustralia
- Monash Centre for Scholarship in Health Education, Faculty of Medicine Nursing and Health SciencesMonash UniversityMelbourneVictoriaAustralia
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Interdimensional Travel: Visualisation of 3D-2D Transitions in Anatomy Learning. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1235:103-116. [PMID: 32488638 DOI: 10.1007/978-3-030-37639-0_6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Clinical image interpretation is one of the most challenging activities for students when they first arrive at medical school. Interpretation of clinical images concerns the identification of three-dimensional anatomical features in two-dimensional cross-sectional computed tomography (CT) and magnetic resonance imaging (MRI) images in axial, sagittal and coronal planes, and the recognition of structures in ultrasound and plain radiographs. We propose that a cognitive transition occurs when initially attempting to interpret clinical images, which requires reconciling known 3D structures with previously unknown 2D visual information. Additionally, we propose that this 3D-2D transition is required when integrating an understanding of superficial 2D surface landmarks with an appreciation of underlying 3D anatomical structures during clinical examinations.Based on educational theory and research findings, we recommend that 3D and 2D approaches should be simultaneously combined within radiological and surface anatomy education. With a view to this, we have developed and utilised digital and art-based methods to support the 3D-2D transition. We outline our observations and evaluations, and describe our practical implementation of these approaches within medical curricula to serve as a guide for anatomy educators. Furthermore, we define the theoretical underpinnings and evidence supporting the integration of 3D-2D approaches and the value of our specific activities for enhancing the clinical image interpretation and surface anatomy learning of medical students.
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