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基于CT后处理技术人体血管系统三维重建图像在系统解剖学学习中的应用

2019-08-26柏严李鹏陈丹丹赵研曹文利勾若宇

医学信息 2019年14期
关键词:数据库

柏严 李鹏 陈丹丹 赵研 曹文利 勾若宇

摘要:目的  构建基于CT图像后处理技术的人体血管三维图像数据库,观察其在系统解剖学学习中应用效果。方法  于2018年3月~9月随机选取我校2018级影像专业的60名学生作为研究对象,随机分为对照组和研究组,各30名。对照组使用解剖图谱等传统学习方法,研究组使用由医学影像图像后处理工作站构建的正常人体血管系统数据库学习,学习结束后进行考试,通过问卷方式调查两组学生的学习效果反馈情况。结果  研究组学生的考试成绩为(82.59±4.28)分,及格率為100.00%。对照组学生考试成绩(71.45±3.78)分,及格率为80.31%,研究组学生平均成绩和及格率均高于对照组,差异具有统计学意义(P<0.05);研究组学生对降低实验学习的难度、更易于理解和记忆、提高学习兴趣、三维或二维图像学习操作的难易程度、对学习效率的满意度等各项评分结果均高于对照组,差异均有统计学意义(P<0.05)。结论  在系统解剖学学习中使用基于CT后处理工作站构建的三维图像数据库可有效提升系统解剖学的学习效果,使学生更易于理解,有助于提高学习兴趣及效率。

关键词:脉管系统;三维重建;数据库;系统解剖学

中图分类号:G642                                     文献标识码:B                                DOI:10.3969/j.issn.1006-1959.2019.14.004

文章编号:1006-1959(2019)14-0008-03

Abstract:Objective  To construct a three-dimensional image database of human blood vessels based on CT image post-processing technology, and observe its application effect in systematic anatomy learning.Methods  From March to September 2018, 60 students from the 2018-level imaging major of our school were randomly selected as the research subjects, and were randomly divided into the control group and the research group, 30 each. The control group used traditional learning methods such as anatomical atlas. The research group used the normal human vascular system database constructed by the medical image post-processing workstation to conduct the examination after the end of the study, and investigated the learning effect feedback of the two groups of students through questionnaires.Results  The test scores of the study group students were (82.59±4.28) and the pass rate was 100.00%. The test scores of the students in the control group were (71.45±3.78), and the pass rate was 80.31%. The average score and pass rate of the study group were higher than the control group, the difference was statistically significant (P<0.05). The study group students were more difficult to understand the experimental study, easier to understand and remember, improves their interest in learning, 3D or 2D images. The scores of learning difficulty and satisfaction with learning efficiency were higher than those of the control group,the differences were statistically significant (P<0.05).Conclusion  Using the 3D image database constructed by CT post-processing workstation in system anatomy learning can effectively improve the learning effect of system anatomy, making it easier for students to understand and help to improve learning interest and learning efficiency.

Key words:Vasculature;Three-dimensional reconstruction;Database;System anatomy

系统解剖学(System anatomy)是一门直观性很强的形态学科,是每个医学生必须掌握的基本知识。血管系统在系统解剖学实验教学中是一大难点,血管遍布人体全身,分支分布错综复杂,且由于软组织、骨骼的影响,仅通过实验课中的观察和课本二维平面抽象学习,对教师的教学和学生的学习都是极大的挑战。随着医学技术、计算机图像技术的高速发展以及计算机辅助临床教学的迫切需要,目前已出现多种图像的三维重建方法。三维图像后处理技术可以对人体的任何一个部位进行可视化观察[1]。本研究利用医学影像图像后处理工作站,对人体主要大血管进行三维重建,构建出血管系统三维数据库,学生通过该数据库学习,大大降低了老师的教学难度及学生的学习难度,现报告如下。……

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