NIHmagic: 3D可视化,注册和分割工具

R. Freidlin, C. J. Ohazama, A. Arai, Delia P. McGarry, J. Panza, B. Trus
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引用次数: 4

摘要

多维生物图像的交互式可视化已经彻底改变了诊断和治疗计划。从不同的成像方式中提取互补的解剖和功能信息,为被检查对象的定量和定性评估提供了协同分析能力。我们一直在开发NIHmagic,一个用于研究和临床使用的可视化工具,基于SGI OnyxII无限现实平台。通过体渲染,图像被重建成3D体,体渲染是一种使用3D纹理映射为对象提供半透明外观的显示技术。通过不透明度映射函数将一堆切片渲染成一个体,其中不透明度由体素的强度及其与观察者的距离决定。NIHmagic结合了时间序列图像的3D可视化、2D切片的手动配准、解剖结构的分割和颜色编码的强度重新映射。使用NIHmagic完成了MIR, PET, CT,超声和3D重建电子显微镜图像的可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NIHmagic: 3D visualization, registration, and segmentation tool
Interactive visualization of multi-dimensional biological images has revolutionized diagnostic and therapy planning. Extracting complementary anatomical and functional information from different imaging modalities provides a synergistic analysis capability for quantitative and qualitative evaluation of the objects under examination. We have been developing NIHmagic, a visualization tool for research and clinical use, on the SGI OnyxII Infinite Reality platform. Images are reconstructed into a 3D volume by volume rendering, a display technique that employs 3D texture mapping to provide a translucent appearance to the object. A stack of slices is rendered into a volume by an opacity mapping function, where the opacity is determined by the intensity of the voxel and its distance from the viewer. NIHmagic incorporates 3D visualization of time-sequenced images, manual registration of 2D slices, segmentation of anatomical structures, and color-coded re-mapping of intensities. Visualization of MIR, PET, CT, Ultrasound, and 3D reconstructed electron microscopy images has been accomplished using NIHmagic.
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