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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Nextmed: Automatic Imaging Segmentation 3D Reconstruction and 3D Model Visualization Platform Using Augmented and Virtual Reality
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Nextmed: Automatic Imaging Segmentation 3D Reconstruction and 3D Model Visualization Platform Using Augmented and Virtual Reality

机译：Nextmed：使用增强和虚拟现实的自动图像分割3D重建和3D模型可视化平台

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The visualization of medical images with advanced techniques, such as augmented reality and virtual reality, represent a breakthrough for medical professionals. In contrast to more traditional visualization tools lacking 3D capabilities, these systems use the three available dimensions. To visualize medical images in 3D, the anatomical areas of interest must be segmented. Currently, manual segmentation, which is the most commonly used technique, and semi-automatic approaches can be time consuming because a doctor is required, making segmentation for each individual case unfeasible. Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization techniques implementation, we designed a complete platform to solve this problem and allow medical professionals to work more frequently with anatomical 3D models obtained from medical imaging. As a result, the Nextmed project, due to the different implemented software applications, permits the importation of digital imaging and communication on medicine (dicom) images on a secure cloud platform and the automatic segmentation of certain anatomical structures with new algorithms that improve upon the current research results. A 3D mesh of the segmented structure is then automatically generated that can be printed in 3D or visualized using both augmented and virtual reality, with the designed software systems. The Nextmed project is unique, as it covers the whole process from uploading dicom images to automatic segmentation, 3D reconstruction, 3D visualization, and manipulation using augmented and virtual reality. There are many researches about application of augmented and virtual reality for medical image 3D visualization; however, they are not automated platforms. Although some other anatomical structures can be studied, we focused on one case: a lung study. Analyzing the application of the platform to more than 1000 dicom images and studying the results with medical specialists, we concluded that the installation of this system in hospitals would provide a considerable improvement as a tool for medical image visualization.
机译：使用增强现实和虚拟现实等先进技术对医学图像进行可视化，代表了医学专业人员的一项突破。与缺乏3D功能的更传统的可视化工具相比，这些系统使用了三个可用维度。为了以3D形式显示医学图像，必须对感兴趣的解剖区域进行分割。当前，最常用的技术是手动分割，而半自动方法则很耗时，因为需要医生，因此无法对每个个案进行分割。使用新技术（例如用于分割算法的计算机视觉和人工智能以及用于可视化技术实施的增强和虚拟现实），我们设计了一个完整的平台来解决此问题，并使医疗专业人员可以更频繁地使用从医学成像获得的解剖3D模型。结果，由于实施的软件应用程序不同，Nextmed项目允许在安全的云平台上导入数字成像和医学（dicom）图像上的通信，并使用改进后的新算法对某些解剖结构进行自动分割。目前的研究成果。然后，将自动生成分段结构的3D网格，该网格可以通过设计的软件系统以3D形式打印或使用增强现实和虚拟现实进行可视化。 Nextmed项目是独特的，因为它涵盖了从上传dicom图像到自动分割，3D重建，3D可视化以及使用增强和虚拟现实进行操纵的整个过程。关于增强现实和虚拟现实在医学图像3D可视化中的应用有很多研究。但是，它们不是自动化平台。尽管可以研究其他一些解剖结构，但我们只关注一种情况：肺部研究。通过分析该平台在1000多种dicom图像上的应用并与医学专家一起研究结果，我们得出结论，该系统在医院中的安装将作为医学图像可视化工具提供相当大的改进。

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