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使用新型动态呼吸体模对西门子 CT 进行 4D 成像的两种呼吸监测系统的比较。

Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom.

机构信息

Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Phys Med Biol. 2012 May 7;57(9):N131-43. doi: 10.1088/0031-9155/57/9/N131. Epub 2012 Apr 13.

Abstract

Four-dimensional computed tomography (4D-CT) requires breathing information from the patient, and for this, several systems are available. Testing of these systems, under realistic conditions, requires a phantom with a moving target and an expandable outer contour. An anthropomorphic phantom was developed to simulate patient breathing as well as lung tumor motion. Using the phantom, an optical camera system (GateCT) and a pressure sensor (AZ-733V) were simultaneously operated, and 4D-CTs were reconstructed with a Siemens CT using the provided local-amplitude-based sorting algorithm. The comparison of the tumor trajectories of both systems revealed discrepancies up to 9.7 mm. Breathing signal differences, such as baseline drift, temporal resolution and noise level were shown not to be the reason for this. Instead, the variability of the sampling interval and the accuracy of the sampling rate value written on the header of the GateCT-signal file were identified as the cause. Interpolation to regular sampling intervals and correction of the sampling rate to the actual value removed the observed discrepancies. Consistently, the introduction of sampling interval variability and inaccurate sampling rate values into the header of the AZ-733V file distorted the tumor trajectory for this system. These results underline the importance of testing new equipment thoroughly, especially if components of different manufacturers are combined.

摘要

四维计算机断层扫描(4D-CT)需要患者的呼吸信息,为此,有几种系统可用。在实际条件下对这些系统进行测试需要具有运动目标和可扩展外轮廓的体模。为此,开发了一种拟人化体模来模拟患者呼吸和肺部肿瘤运动。使用该体模,同时操作光学相机系统(GateCT)和压力传感器(AZ-733V),并使用提供的基于局部幅度排序算法,使用西门子 CT 重建 4D-CT。两种系统的肿瘤轨迹比较显示差异最大可达 9.7 毫米。呼吸信号差异,如基线漂移、时间分辨率和噪声水平,并不是导致这种差异的原因。相反,采样间隔的可变性和写入 GateCT 信号文件头中的采样率值的准确性被确定为原因。通过插值到规则的采样间隔和校正采样率到实际值,可以消除观察到的差异。一致地,将采样间隔可变性和不准确的采样率值引入 AZ-733V 文件的头中,会使该系统的肿瘤轨迹失真。这些结果强调了彻底测试新设备的重要性,特别是如果组合使用来自不同制造商的组件时。

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