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超声与神经导航的实时整合:基于发光二极管导航系统的技术准确性

Real-time integration of ultrasound into neuronavigation: technical accuracy using a light-emitting-diode-based navigation system.

作者信息

Jödicke A, Springer T, Böker D-K

机构信息

Department of Neurosurgery, University Medical Centre, Justus-Liebig-Universität, Giessen, Germany.

出版信息

Acta Neurochir (Wien). 2004 Nov;146(11):1211-20. doi: 10.1007/s00701-004-0352-y. Epub 2004 Sep 20.

Abstract

BACKGROUND

In brain surgery, intraoperative brain deformation is the major source of postimaging inaccuracy of neuronavigation. For intraoperative imaging of brain deformation, we developed a platform for the integration of ultrasound imaging into a navigation system.

METHOD

A commercially available ultrasound system was linked to a light-emitting-diode- (LED) based neuronavigation system via rigid fixation of a position localiser to the ultrasound probe and ultrasound image transfer into the navigation system via a S-VHS port. Since the position of the ultrasound image co-ordinate system is not readily defined within the navigation reference co-ordinate system (REF CS), a transformation which links both co-ordinate systems has to be defined by a calibration procedure. Calibration of the ultrasound probe within the REF CS was performed via a cross-wire phantom. The phantom target was defined within the navigation co-ordinate system (by pointer under microscopic control) and imaged by ultrasound. Ultrasound presets were optimised (digital beam focusing, gain intensity) to attain a small echoic target for manual target definition. The transformation was derived from 150 ultrasound measures and iteration. Accuracy was calculated as mean linear error (LE; in X(REF), Y(REF), or Z(REF) direction), overall mean LE (linear errors of all axes X(REF) to Z(REF)) and Euclidean error (EE; vectorial distance from the physical target).

FINDINGS

Optimised ultrasound presets (8 MHz frequency, digital beam focusing, 20% gain intensity) enabled a low interobserver error (mean: 0.5 mm, SD: 0.28) for target definition within the 2-D ultrasound image. Mean accuracy of pointer-based physical target definition in the REF CS was 0.7 mm (RMSE; SD: 0.23 mm). For navigated ultrasound, the overall mean LE was 0.43 mm (SD: 1.36 mm; 95%CL: 3.13 mm) with a mean EE of 2.26 mm (SD: 0.97 mm; 95%CL: 4.21 mm).

INTERPRETATION

Using a single target cross-wire phantom, a highly accurate integration of ultrasound imaging into neuronavigation was achieved. The phantom accuracy of integration lies within the range of application accuracy of navigation systems and warrants clinical studies.

摘要

背景

在脑外科手术中,术中脑形变是神经导航术后成像不准确的主要来源。为了对脑形变进行术中成像,我们开发了一个将超声成像集成到导航系统中的平台。

方法

通过将位置定位器牢固地固定在超声探头上,将市售超声系统与基于发光二极管(LED)的神经导航系统相连,并通过S - VHS端口将超声图像传输到导航系统中。由于超声图像坐标系的位置在导航参考坐标系(REF CS)中不易确定,因此必须通过校准程序定义一个连接两个坐标系的变换。通过十字线模型在REF CS内对超声探头进行校准。在导航坐标系中(通过显微镜控制下的指针)定义模型靶点,并进行超声成像。优化超声预设(数字波束聚焦、增益强度)以获得用于手动定义靶点的小回声靶点。通过150次超声测量和迭代得出变换。准确性计算为平均线性误差(LE;在X(REF)、Y(REF)或Z(REF)方向)、总体平均LE(所有轴X(REF)到Z(REF)的线性误差)和欧几里得误差(EE;与物理靶点的矢量距离)。

结果

优化的超声预设(8 MHz频率、数字波束聚焦、20%增益强度)使得在二维超声图像内定义靶点时观察者间误差较低(平均值:0.5 mm,标准差:0.28)。在REF CS中基于指针的物理靶点定义的平均准确性为0.7 mm(均方根误差;标准差:0.23 mm)。对于导航超声,总体平均LE为0.43 mm(标准差:1.36 mm;95%置信区间:3.13 mm),平均EE为2.26 mm(标准差:0.97 mm;95%置信区间:4.21 mm)。

解读

使用单个靶点十字线模型,实现了超声成像与神经导航的高度精确集成。集成的模型准确性在导航系统的应用准确性范围内,值得进行临床研究。

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