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利用DSI Studio的纤维重建技术加强神经解剖学教学

Enhancing Neuroanatomy Teaching with DSI Studio's Fiber Reconstruction Technology.

作者信息

Zeng Junfeng, Shi Lihong, Liu Yongbo, Yang Jian, Zhang Luqing, Song Huifang, Zhao Yunhe, Yang Jing, Cheng Xiaolong, Lu Li

机构信息

School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.

Department of Radiology, Peking University Care Lu'an Hospital, Changzhi, Shanxi, People's Republic of China.

出版信息

Adv Med Educ Pract. 2025 May 22;16:875-889. doi: 10.2147/AMEP.S522454. eCollection 2025.


DOI:10.2147/AMEP.S522454
PMID:40432977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12107389/
Abstract

BACKGROUND: DSI Studio is an advanced imaging software specifically designed for the analysis of diffusion magnetic resonance imaging (dMRI). Its key features, which include fiber reconstruction, fiber tracking, and 3D visualization, have established its significant role in neuroscience research. OBJECTIVE: A solid understanding of spatial relationships is crucial for students studying anatomy. However, there has been limited research in Chinese medical education regarding the integration of 3D imaging technology into anatomical instruction. To address this gap, we conducted an innovative study utilizing DSI Studio to enhance neuroanatomy education. METHODS: An innovative study was conducted utilizing DSI Studio for fiber reconstruction and 3D visualization in neuroanatomy workshops. A total of 38 students participated in hands-on sessions, with 13 completing pre-training surveys and 19 completing post-training surveys. The students' understanding of neuroanatomy prior to training, as well as their performance and experiences during the neuroanatomy learning process, were systematically recorded. Additionally, the effectiveness of DSI Studio software in enhancing neuroanatomy learning was assessed in conjunction with the reconstruction capabilities of the software. RESULTS: The application of DSI Studio significantly improved students' visualization of neural structures, surpassing traditional teaching limitations. It enhanced their understanding of three-dimensional brain anatomy, boosted enthusiasm, and improved learning efficiency. The workshops supported the students' progression through the knowledge acquisition phases-understanding, mastery, and application. CONCLUSION: DSI Studio demonstrates potential as an educational tool in neuroanatomy, offering a supportive and flexible learning environment conducive to achieving learning objectives. Our findings preliminarily support the adoption of DSI Studio's fiber reconstruction technology in undergraduate medical education.

摘要

背景:DSI Studio是一款专门为扩散磁共振成像(dMRI)分析设计的先进成像软件。其关键特性,包括纤维重建、纤维追踪和三维可视化,已在神经科学研究中确立了重要作用。 目的:对于学习解剖学的学生而言,扎实理解空间关系至关重要。然而,在中文医学教育中,将三维成像技术融入解剖学教学的研究有限。为填补这一空白,我们开展了一项创新性研究,利用DSI Studio来加强神经解剖学教育。 方法:开展了一项创新性研究,在神经解剖学工作坊中利用DSI Studio进行纤维重建和三维可视化。共有38名学生参加了实践课程,其中13名完成了培训前调查,19名完成了培训后调查。系统记录了学生在培训前对神经解剖学的理解,以及他们在神经解剖学学习过程中的表现和体验。此外,结合该软件的重建能力,评估了DSI Studio软件在加强神经解剖学学习方面的有效性。 结果:DSI Studio的应用显著改善了学生对神经结构的可视化,超越了传统教学的局限性。它增强了学生对三维脑解剖学的理解,提高了积极性,并提升了学习效率。这些工作坊支持学生在知识获取阶段——理解、掌握和应用——不断进步。 结论:DSI Studio在神经解剖学中展现出作为教育工具的潜力,提供了一个有利于实现学习目标的支持性和灵活性学习环境。我们的研究结果初步支持在本科医学教育中采用DSI Studio的纤维重建技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/de641a7bada8/AMEP-16-875-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/de3689510b38/AMEP-16-875-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/d887541838b7/AMEP-16-875-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/0031e7d439ed/AMEP-16-875-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/d4f1f3b2b1e5/AMEP-16-875-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/e979f23f4c7d/AMEP-16-875-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/ada3806e26a4/AMEP-16-875-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/5dd4b789fce9/AMEP-16-875-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/43f66befd2e1/AMEP-16-875-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/de641a7bada8/AMEP-16-875-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/de3689510b38/AMEP-16-875-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/d887541838b7/AMEP-16-875-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/0031e7d439ed/AMEP-16-875-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/d4f1f3b2b1e5/AMEP-16-875-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/e979f23f4c7d/AMEP-16-875-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/ada3806e26a4/AMEP-16-875-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/5dd4b789fce9/AMEP-16-875-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/43f66befd2e1/AMEP-16-875-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ea/12107389/de641a7bada8/AMEP-16-875-g0009.jpg

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本文引用的文献

[1]
Efficacy of plastinated specimens in anatomy education: A systematic review and meta-analysis.

Anat Sci Educ. 2024-6

[2]
The effectiveness of three-dimensional printing in undergraduate and postgraduate anatomy education: A review of reviews.

Morphologie. 2024-6

[3]
Neuroanatomy in virtual reality: Development and pedagogical evaluation of photogrammetry-based 3D brain models.

Anat Sci Educ. 2024-3

[4]
Assessing the impact of 3D image segmentation workshops on anatomical education and image interpretation: A prospective pilot study.

Anat Sci Educ. 2023

[5]
Frontal Aslant Tract and Its Role in Language: A Journey Through Tractographies and Dissections.

World Neurosurg. 2023-5

[6]
How students discern anatomical structures using digital three-dimensional visualizations in anatomy education.

Anat Sci Educ. 2023

[7]
Real-life scenario blended teaching approach for nurturing inquisitive learning of central nervous system in medical students.

Adv Physiol Educ. 2023-3-1

[8]
A novel 3D surgical neuroanatomy course for medical students: Outcomes from a pilot 6-week elective.

J Clin Neurosci. 2023-1

[9]
Structural and functional magnetic resonance imaging correlates of fatigue and dual-task performance in progressive multiple sclerosis.

J Neurol. 2023-3

[10]
Population-based tract-to-region connectome of the human brain and its hierarchical topology.

Nat Commun. 2022-8-22

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