Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
J Digit Imaging. 2011 Dec;24(6):1103-11. doi: 10.1007/s10278-011-9362-5.
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.
近红外光的光学成像是一种非侵入性的组织探测技术，利用血红蛋白对光的吸收产生的对比，来恢复健康和患病组织的血管和分子状态。虽然存在多模态光学技术，但该领域的可视化技术仍然有限。针对这个问题，我们提出了一种简单的光学和磁共振（MRI）或计算机断层扫描（CT）图像的图像叠加框架，称为 NIRViz，它直观易用。NIRViz 是一个用于显示和导航数字成像和通信医学（DICOM）MRI 数据集和 3D 光学图像解决方案的多模态软件平台，旨在可视化和配准癌症等患病组织中的光学对比。我们介绍了在软件设计过程中所做的设计决策、实现中使用的库以及其他实现细节，以及软件包的初步结果。我们的实现使用可视化工具包库来完成大部分工作，使用 Qt 图形用户界面作为前端。所遇到的挑战包括重新切片 DICOM 图像数据以及图像空间和网格空间的配准。最终的软件提供了一个简单定制的平台，用于显示带有血红蛋白浓度等光学参数的表面和体积网格，并将其叠加在磁共振图像上，允许用户交互式地改变不同图像集的透明度、旋转几何形状、通过结果数据集进行裁剪、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。
