Cargando…
A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education
BACKGROUND: Neuroanatomy is the most abstract and complex anatomy. Neurosurgeons have to spend plenty of time mastering the nuances of the autopsy. However, the laboratory that can meet the requirements of neurosurgery microanatomy is only owned by several large medical colleges because it is an exp...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183128/ https://www.ncbi.nlm.nih.gov/pubmed/37179320 http://dx.doi.org/10.1186/s12909-023-04323-z |
_version_ | 1785041888523321344 |
---|---|
author | Shao, Xuefei Qiang, Di Yuan, Quan |
author_facet | Shao, Xuefei Qiang, Di Yuan, Quan |
author_sort | Shao, Xuefei |
collection | PubMed |
description | BACKGROUND: Neuroanatomy is the most abstract and complex anatomy. Neurosurgeons have to spend plenty of time mastering the nuances of the autopsy. However, the laboratory that can meet the requirements of neurosurgery microanatomy is only owned by several large medical colleges because it is an expensive affair. Thus, laboratories worldwide are searching for substitutes,but the reality and local details might not meet the exact requirements of the anatomical structure. Herein, we compared the traditional teaching mode, the 3D image generated by the current advanced hand-held scanner and our self-developed 2D image fitting 3D imaging method in the comparative study of neuroanatomy education. METHODS: To examine the efficacy of two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education. 60 clinical students of grade 2020 in Wannan Medical College were randomly divided into traditional teaching group, hand held scanner 3D imaging group and 2D fitting 3D method group, with 20 students in each group.First, the modeling images of the hand held scanner 3D imaging group and the 2D fitting 3D method group are analyzed and compared, and then the teaching results of the three groups are evaluated by objective and subjective evaluation methods. The objective evaluation is in the form of examination papers, unified proposition and unified score; The subjective evaluation is conducted in the form of questionnaires to evaluate. RESULTS: The modeling and image analysis of the current advanced hand-held 3D imaging scanner and our self-developed 2D fitting 3D imaging method were compared.The images (equivalent to 1, 10, and 40 × magnification) of the model points and polygons using the Cinema 4D R19 virtual camera of 50, 500, and 2000 mm showed 1,249,955 points and 2,500,122 polygons in the skull data obtained using the hand-held scanner. The 3D model data of the skull consisted of 499,914 points, while the number of polygons reached up to 60,000,000, which was about fourfold that of the hand-held 3D scanning. This model used 8 K mapping technology, and hand-held scanner 3D imaging 3D scanning modeling used a 0.13 K map based on the map data, thereby indicating that the 2D fitting 3D imaging method is delicate and real. Comparative analysis of general data of three groups of students.The comparison of test results, clinical practice assessment and teaching satisfaction of the three groups shows that the performance of hand held scanner 3D imaging group is better than that of traditional teaching group (P < 0.01), and that of 2D fitting 3D method group is significantly better than that of traditional teaching group (P < 0.01). CONCLUSIONS: The method used in this study can achieve real reduction. Compared to hand-held scanning, this method is more cost-effective than the cost of the equipment and the results. Moreover, the post-processing is easy to master, and the autopsy can be performed easily after learning, negating the need to seek professional help. It has a wide application prospect in teaching. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04323-z. |
format | Online Article Text |
id | pubmed-10183128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101831282023-05-15 A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education Shao, Xuefei Qiang, Di Yuan, Quan BMC Med Educ Research BACKGROUND: Neuroanatomy is the most abstract and complex anatomy. Neurosurgeons have to spend plenty of time mastering the nuances of the autopsy. However, the laboratory that can meet the requirements of neurosurgery microanatomy is only owned by several large medical colleges because it is an expensive affair. Thus, laboratories worldwide are searching for substitutes,but the reality and local details might not meet the exact requirements of the anatomical structure. Herein, we compared the traditional teaching mode, the 3D image generated by the current advanced hand-held scanner and our self-developed 2D image fitting 3D imaging method in the comparative study of neuroanatomy education. METHODS: To examine the efficacy of two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education. 60 clinical students of grade 2020 in Wannan Medical College were randomly divided into traditional teaching group, hand held scanner 3D imaging group and 2D fitting 3D method group, with 20 students in each group.First, the modeling images of the hand held scanner 3D imaging group and the 2D fitting 3D method group are analyzed and compared, and then the teaching results of the three groups are evaluated by objective and subjective evaluation methods. The objective evaluation is in the form of examination papers, unified proposition and unified score; The subjective evaluation is conducted in the form of questionnaires to evaluate. RESULTS: The modeling and image analysis of the current advanced hand-held 3D imaging scanner and our self-developed 2D fitting 3D imaging method were compared.The images (equivalent to 1, 10, and 40 × magnification) of the model points and polygons using the Cinema 4D R19 virtual camera of 50, 500, and 2000 mm showed 1,249,955 points and 2,500,122 polygons in the skull data obtained using the hand-held scanner. The 3D model data of the skull consisted of 499,914 points, while the number of polygons reached up to 60,000,000, which was about fourfold that of the hand-held 3D scanning. This model used 8 K mapping technology, and hand-held scanner 3D imaging 3D scanning modeling used a 0.13 K map based on the map data, thereby indicating that the 2D fitting 3D imaging method is delicate and real. Comparative analysis of general data of three groups of students.The comparison of test results, clinical practice assessment and teaching satisfaction of the three groups shows that the performance of hand held scanner 3D imaging group is better than that of traditional teaching group (P < 0.01), and that of 2D fitting 3D method group is significantly better than that of traditional teaching group (P < 0.01). CONCLUSIONS: The method used in this study can achieve real reduction. Compared to hand-held scanning, this method is more cost-effective than the cost of the equipment and the results. Moreover, the post-processing is easy to master, and the autopsy can be performed easily after learning, negating the need to seek professional help. It has a wide application prospect in teaching. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04323-z. BioMed Central 2023-05-14 /pmc/articles/PMC10183128/ /pubmed/37179320 http://dx.doi.org/10.1186/s12909-023-04323-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shao, Xuefei Qiang, Di Yuan, Quan A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title | A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title_full | A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title_fullStr | A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title_full_unstemmed | A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title_short | A new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
title_sort | new neuroanatomical two-dimensional fitting three-dimensional imaging techniques in neuroanatomy education |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183128/ https://www.ncbi.nlm.nih.gov/pubmed/37179320 http://dx.doi.org/10.1186/s12909-023-04323-z |
work_keys_str_mv | AT shaoxuefei anewneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation AT qiangdi anewneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation AT yuanquan anewneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation AT shaoxuefei newneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation AT qiangdi newneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation AT yuanquan newneuroanatomicaltwodimensionalfittingthreedimensionalimagingtechniquesinneuroanatomyeducation |