Way Ted W, Chan Heang-Ping, Goodsitt Mitchell M, Sahiner Berkman, Hadjiiski Lubomir M, Zhou Chuan, Chughtai Aamer
Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Phys Med Biol. 2008 Mar 7;53(5):1295-312. doi: 10.1088/0031-9155/53/5/009. Epub 2008 Feb 13.
The purpose of this study is to investigate the effects of CT scanning and reconstruction parameters on automated segmentation and volumetric measurements of nodules in CT images. Phantom nodules of known sizes were used so that segmentation accuracy could be quantified in comparison to ground-truth volumes. Spherical nodules having 4.8, 9.5 and 16 mm diameters and 50 and 100 mg cc(-1) calcium contents were embedded in lung-tissue-simulating foam which was inserted in the thoracic cavity of a chest section phantom. CT scans of the phantom were acquired with a 16-slice scanner at various tube currents, pitches, fields-of-view and slice thicknesses. Scans were also taken using identical techniques either within the same day or five months apart for study of reproducibility. The phantom nodules were segmented with a three-dimensional active contour (3DAC) model that we previously developed for use on patient nodules. The percentage volume errors relative to the ground-truth volumes were estimated under the various imaging conditions. There was no statistically significant difference in volume error for repeated CT scans or scans taken with techniques where only pitch, field of view, or tube current (mA) were changed. However, the slice thickness significantly (p < 0.05) affected the volume error. Therefore, to evaluate nodule growth, consistent imaging conditions and high resolution should be used for acquisition of the serial CT scans, especially for smaller nodules. Understanding the effects of scanning and reconstruction parameters on volume measurements by 3DAC allows better interpretation of data and assessment of growth. Tracking nodule growth with computerized segmentation methods would reduce inter- and intraobserver variabilities.
本研究的目的是调查CT扫描和重建参数对CT图像中结节自动分割和体积测量的影响。使用已知大小的模拟结节,以便与真实体积相比定量分割精度。将直径为4.8、9.5和16毫米且钙含量为50和100毫克/立方厘米的球形结节嵌入模拟肺组织的泡沫中,该泡沫插入胸部断层模型的胸腔内。使用16层扫描仪在不同的管电流、螺距、视野和层厚条件下对模型进行CT扫描。还在同一天内或间隔五个月使用相同技术进行扫描以研究可重复性。使用我们之前开发的用于患者结节的三维活动轮廓(3DAC)模型对模拟结节进行分割。在各种成像条件下估计相对于真实体积的体积误差百分比。对于重复CT扫描或仅改变螺距、视野或管电流(毫安)的技术所进行的扫描,体积误差没有统计学上的显著差异。然而,层厚显著(p < 0.05)影响体积误差。因此,为了评估结节生长,应使用一致的成像条件和高分辨率来采集系列CT扫描,特别是对于较小的结节。了解扫描和重建参数对3DAC体积测量的影响有助于更好地解释数据和评估生长情况。使用计算机化分割方法跟踪结节生长将减少观察者间和观察者内的变异性。