Faculty of Medicine and Health Technology, Tampere University, FI-33014, Tampere, Finland.
Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
BMC Cancer. 2021 Oct 22;21(1):1133. doi: 10.1186/s12885-021-08542-9.
Virtual reality (VR) enables data visualization in an immersive and engaging manner, and it can be used for creating ways to explore scientific data. Here, we use VR for visualization of 3D histology data, creating a novel interface for digital pathology to aid cancer research.
Our contribution includes 3D modeling of a whole organ and embedded objects of interest, fusing the models with associated quantitative features and full resolution serial section patches, and implementing the virtual reality application. Our VR application is multi-scale in nature, covering two object levels representing different ranges of detail, namely organ level and sub-organ level. In addition, the application includes several data layers, including the measured histology image layer and multiple representations of quantitative features computed from the histology.
In our interactive VR application, the user can set visualization properties, select different samples and features, and interact with various objects, which is not possible in the traditional 2D-image view used in digital pathology. In this work, we used whole mouse prostates (organ level) with prostate cancer tumors (sub-organ objects of interest) as example cases, and included quantitative histological features relevant for tumor biology in the VR model.
Our application enables a novel way for exploration of high-resolution, multidimensional data for biomedical research purposes, and can also be used in teaching and researcher training. Due to automated processing of the histology data, our application can be easily adopted to visualize other organs and pathologies from various origins.
虚拟现实(VR)能够以沉浸式和吸引人的方式实现数据可视化,可用于创建探索科学数据的方法。在这里,我们将 VR 用于 3D 组织学数据的可视化,为数字病理学创建了一种新的界面,以辅助癌症研究。
我们的贡献包括对整个器官和嵌入的感兴趣对象进行 3D 建模,将模型与相关的定量特征和全分辨率的连续切片补丁融合,并实现虚拟现实应用程序。我们的 VR 应用程序具有多尺度性质,涵盖了两个表示不同细节范围的对象级别,即器官级别和子器官级别。此外,该应用程序还包括多个数据层,包括测量的组织学图像层和从组织学计算得出的多个定量特征表示。
在我们的交互式 VR 应用程序中,用户可以设置可视化属性,选择不同的样本和特征,并与各种对象进行交互,这在数字病理学中使用的传统 2D 图像视图中是不可能的。在这项工作中,我们使用整个小鼠前列腺(器官级别)和前列腺癌肿瘤(子器官感兴趣的对象)作为示例病例,并在 VR 模型中包含与肿瘤生物学相关的定量组织学特征。
我们的应用程序为生物医学研究目的探索高分辨率、多维数据提供了一种新方法,也可用于教学和研究人员培训。由于组织学数据的自动处理,我们的应用程序可以轻松地用于可视化来自不同来源的其他器官和病理学。