ARMedicalSketch:探索使用真正的 2D-3D 互联可视化和交互技术绘制医学图像的 3D 草图

IF 3.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-02 DOI:10.1109/THMS.2024.3432735
Nan Zhang;Tianqi Huang;Hongen Liao
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引用次数: 0

摘要

在传统临床实践中,医生往往需要根据二维显示的医学图像处理三维信息。在临床诊断过程中,图像交互的 2D 和 3D 维度之间存在相当大的不匹配,使得图像处理变得具有挑战性且耗时。在这项研究中,我们利用真正的 2D-3D 互联可视化和交互技术探索了医学图像的 3D 草图绘制,并提出了一种名为 ARMedicalSketch 的新型 AR 环境。它支持原始三维医学图像的图像显示增强预处理和三维交互任务。我们的交互界面基于三维自动立体显示技术,可提供浮动三维显示和二维平板显示,同时实现裸眼可视化。我们提出了一种 2D-3D 互联可视化和交互方法,采用同步投影可视化和虚拟同步交互平面来建立 2D 和 3D 显示屏之间的集成关系。此外,我们还利用手势传感器和二维触摸板来捕捉用户的手部信息,从而实现便捷的交互。我们制作了原型并进行了用户研究,共有 23 名学生和 2 名临床专家参与。对照研究将我们提出的系统与二维显示器原型进行了比较,结果表明,在保持二维交互准确性的同时,我们提高了与医学图像交互的效率,尤其是在涉及三维空间相关性较强的任务中。未来,我们的目标是进一步提高 ARMedicalSketch 的交互精度和应用场景。
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ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction
In traditional clinical practice, doctors often have to deal with 3D information based on 2D-displayed medical images. There is a considerable mismatch between the 2D and 3D dimensions in image interaction during clinical diagnosis, making image manipulation challenging and time-consuming. In this study, we explored 3D sketching for medical images using true 2D-3D interlinked visualization and interaction, presenting a novel AR environment named ARMedicalSketch. It supports image display enhancement preprocessing and 3D interaction tasks for original 3D medical images. Our interaction interface, based on 3D autostereoscopic display technology, provides both floating 3D display and 2D tablet display while enabling glasses-free visualization. We presented a method of 2D-3D interlinked visualization and interaction, employing synchronized projection visualization and a virtual synchronized interactive plane to establish an integrated relationship between 2D and 3D displays. Additionally, we utilized gesture sensors and a 2D touch tablet to capture the user's hand information for convenient interaction. We constructed the prototype and conducted a user study involving 23 students and 2 clinical experts. The controlled study compared our proposed system with a 2D display prototype, showing enhanced efficiency in interacting with medical images while maintaining 2D interaction accuracy, particularly in tasks involving strong 3D spatial correlation. In the future, we aim to further enhance the interaction precision and application scenarios of ARMedicalSketch.
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来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
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