论文标题

3D组织学的虚拟现实:具有互动特征探索器官的多尺度可视化

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration

论文作者

Liimatainen, Kaisa, Latonen, Leena, Valkonen, Masi, Kartasalo, Kimmo, Ruusuvuori, Pekka

论文摘要

虚拟现实(VR)以沉浸式和引人入胜的方式实现数据可视化,并且可用于创建探索科学数据的方法。在这里,我们使用VR可视化3D组织学数据,从而为数字病理创建了一种新颖的界面。我们的贡献包括关注的整个器官和嵌入式对象的3D建模,将模型与相关的定量特征和完整分辨率的串行部分补丁融合在一起,并实现虚拟现实应用程序。我们的VR应用本质上是多尺度的,涵盖了两个代表细节不同范围的对象级别,即器官级别和子管道级别。此外,该应用程序还包括几个数据层,包括测量的组织学图像层和从组织学计算的定量特征的多个表示。在此交互式VR应用程序中,用户可以设置可视化属性,选择不同的示例和功能,并与各种对象进行交互。在这项工作中,我们将整个小鼠前列腺(器官水平)与前列腺癌肿瘤(感兴趣的亚科对象)一起使用,并在VR模型中包括与肿瘤生物学相关的定量组织学特征。由于组织学数据的自动处理,我们的应用程序可以轻松地采用从各种起源中可视化其他器官和病理。我们的应用程序为生物医学研究目的探索高分辨率,多维数据的新颖方法,也可以用于教学和研究人员培训中。

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. 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 this interactive VR application, the user can set visualization properties, select different samples and features, and interact with various objects. 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. Due to automated processing of the histology data, our application can be easily adopted to visualize other organs and pathologies from various origins. 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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源