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[基于磁共振图像的胸部肿瘤三维可视化]

[3-D visualization of thoracic tumors from MR images].

作者信息

Beier J, Bittner R C, Wust P, Fleck E, Kaiser D, Felix R

机构信息

Virchow-Klinikum, Abteilung Innere Medizin und Kardiologie, Deutsches Herzzentrum Berlin.

出版信息

Rofo. 1996 Jan;164(1):75-8. doi: 10.1055/s-2007-1015612.

Abstract

AIM

In cooperation with the thoracic surgery department 3-D visualizations of tumors were generated to support the surgeons in preoperative planning. As opposed to 3-D reconstructions of CT data, those representations based on MRI images remain an exception. In this paper different methods of three dimensional visualization of lung tumors are presented and compared to each other.

DESIGN

These methods are 1. contour based surface models, 2. threshold based surface models and 3. rendered scenes of segmented volume data with transparent, color-coded display.

RESULTS

Combinations of all three methods in one single image are possible as well with the software we developed. Furthermore, cut planes through the original data can be integrated into the 3-D scene. The segmentation of anatomical objects is performed either manually or automatically with various procedures.

CONCLUSIONS

Adequate possibilities of manipulation and archiving allow a fast handling and processing even of large data sets. The calculated volumes of the anatomical objects can be used for quantitative studies. Arbitrary views of the three dimensional reconstructions can be generated within a few seconds. Even animation can easily be calculated and displayed with 30 frames/second.

摘要

目的

与胸外科合作生成肿瘤的三维可视化图像,以辅助外科医生进行术前规划。与CT数据的三维重建不同,基于MRI图像的三维呈现仍属例外。本文介绍并比较了肺肿瘤三维可视化的不同方法。

设计

这些方法包括:1. 基于轮廓的表面模型;2. 基于阈值的表面模型;3. 具有透明、颜色编码显示的分割体数据渲染场景。

结果

使用我们开发的软件,可以将所有三种方法组合在一张图像中。此外,穿过原始数据的切割平面可以整合到三维场景中。解剖对象的分割可以手动进行,也可以通过各种程序自动进行。

结论

足够的操作和存档功能使得即使处理大型数据集也能快速处理。计算出的解剖对象体积可用于定量研究。几秒钟内即可生成三维重建的任意视图。甚至动画也能轻松计算并以每秒30帧的速度显示。

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