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后颅窝神经血管关系的三维可视化:技术与临床应用

Three-dimensional visualization of neurovascular relationships in the posterior fossa: technique and clinical application.

作者信息

Naraghi Ramin, Hastreiter Peter, Tomandl Bernd, Bonk Agatha, Huk Walter, Fahlbusch Rudolf

机构信息

Department of Neurological Surgery, Neurocenter and the Division of Neuroradiology, University of Erlangen-Nuremberg, Germany.

出版信息

J Neurosurg. 2004 Jun;100(6):1025-35. doi: 10.3171/jns.2004.100.6.1025.

Abstract

OBJECT

The goal of this study was to describe the authors' technique for three-dimensional (3D) visualization of neurovascular relationships in the posterior fossa at the surface of the brainstem. This technique is based on the processing of high-resolution magnetic resonance (MR) imaging data. The principles and technical details involved in the accurate simultaneous visualization of vessels and cranial nerves as tiny structures are presented using explicit and implicit segmentation as well as volume rendering.

METHODS

In this approach 3D MR constructive interference in steady state imaging data served as the source for image processing, which was performed using the Linux-based software tools SegMed for segmentation and Qvis for volume rendering. A sequence of filtering operations (including noise reduction and closing) and other software tools such as volume growing are used for a semiautomatic coarse segmentation. The subsequent 3D visualization in which implicit segmentation is used for the differentiation of cranial nerves, vessels, and brainstem is achieved by allocating opacity and color values and adjusting the related transfer functions. This method was applied to the presurgical evaluation in a consecutive series of 55 patients with neurovascular compression syndromes and the results were correlated to surgical findings. The potential for its use, further developments, and remaining problems are discussed.

CONCLUSIONS

This method provides an excellent intraoperative real-time virtual view of difficult anatomical relationships.

摘要

目的

本研究的目的是描述作者用于脑干表面后颅窝神经血管关系三维(3D)可视化的技术。该技术基于高分辨率磁共振(MR)成像数据的处理。使用显式和隐式分割以及体绘制,介绍了将血管和颅神经同时准确可视化为微小结构所涉及的原理和技术细节。

方法

在这种方法中,稳态成像数据中的3D MR建设性干扰用作图像处理的源数据,使用基于Linux的软件工具SegMed进行分割,使用Qvis进行体绘制。一系列滤波操作(包括降噪和闭运算)以及其他软件工具(如体生长)用于半自动粗分割。通过分配不透明度和颜色值并调整相关的传递函数,实现了使用隐式分割来区分颅神经、血管和脑干的后续3D可视化。该方法应用于连续55例神经血管压迫综合征患者的术前评估,并将结果与手术发现进行关联。讨论了其使用潜力、进一步发展和存在的问题。

结论

该方法为困难的解剖关系提供了出色的术中实时虚拟视图。

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