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首页> 外文期刊>Journal of Digital Imaging >NIRViz: 3D Visualization Software for Multimodality Optical Imaging Using Visualization Toolkit (VTK) and Insight Segmentation Toolkit (ITK)
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NIRViz: 3D Visualization Software for Multimodality Optical Imaging Using Visualization Toolkit (VTK) and Insight Segmentation Toolkit (ITK)

机译：NIRViz：使用可视化工具包（VTK）和透视细分工具包（ITK）的多模态光学成像的3D可视化软件

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摘要

Optical imaging using near-infrared light is used for noninvasive probing of tissues to recover vascular and molecular status of healthy and diseased tissues using hemoglobin contrast arising due to absorption of light. While multimodality optical techniques exist, visualization techniques in this area are limited. Addressing this issue, we present a simple framework for image overlay of optical and magnetic resonance (MRI) or computerized tomographic images which is intuitive and easily usable, called NIRViz. NIRViz is a multimodality software platform for the display and navigation of Digital Imaging and Communications in Medicine (DICOM) MRI datasets and 3D optical image solutions geared toward visualization and coregistration of optical contrast in diseased tissues such as cancer. We present the design decisions undertaken during the design of the software, the libraries used in the implementation, and other implementation details as well as preliminary results from the software package. Our implementation uses the Visualization Toolkit library to do most of the work, with a Qt graphical user interface for the front end. Challenges encountered include reslicing DICOM image data and coregistration of image space and mesh space. The resulting software provides a simple and customized platform to display surface and volume meshes with optical parameters such as hemoglobin concentration, overlay them on magnetic resonance images, allow the user to interactively change transparency of different image sets, rotate geometries, clip through the resulting datasets, obtain mesh and optical solution information, and successfully interact with both functional and structural medical image information.
机译：使用近红外光的光学成像用于组织的非侵入性探测，以利用由于吸收光而产生的血红蛋白对比来恢复健康和患病组织的血管和分子状态。尽管存在多模态光学技术，但该领域的可视化技术受到限制。为了解决这个问题，我们提出了一个简单的框架，用于光学和磁共振（MRI）或计算机断层图像的图像叠加，该框架直观易用，称为NIRViz。 NIRViz是一个多模态软件平台，用于显示和导航医学数字成像和通信（DICOM）MRI数据集和3D光学图像解决方案，旨在可视化和增强诸如癌症等患病组织的光学对比度。我们介绍了在软件设计过程中做出的设计决策，实现中使用的库以及其他实现详细信息以及软件包的初步结果。我们的实现使用Visualization Toolkit库来完成大部分工作，并在前端使用Qt图形用户界面。遇到的挑战包括切片DICOM图像数据以及图像空间和网格空间的整合。最终的软件提供了一个简单而定制的平台，以显示具有诸如血红蛋白浓度之类的光学参数的表面和体积网格，将其叠加在磁共振图像上，允许用户以交互方式更改不同图像集的透明度，旋转几何形状，剪切生成的数据集，获取网格和光学解决方案信息，并成功地与功能和结构医学图像信息进行交互。

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