Department of Radiology, Duke University, Durham, NC, USA.
Med Phys. 2012 Jul;39(7):4115-22. doi: 10.1118/1.4725171.
To investigate a measurement method for evaluating the resolution properties of CT imaging systems across reconstruction algorithms, dose, and contrast.
An algorithm was developed to extract the task-based modulation transfer function (MTF) from disk images generated from the rod inserts in the ACR phantom (model 464 Gammex, WI). These inserts are conventionally employed for HU accuracy assessment. The edge of the disk objects was analyzed to determine the edge-spread function, which was differentiated to yield the line-spread function and Fourier-transformed to generate the object-specific MTF for task-based assessment, denoted MTF(Task). The proposed MTF measurement method was validated against the conventional wire technique and further applied to measure the MTF of CT images reconstructed with an adaptive statistical iterative algorithm (ASIR) and a model-based iterative (MBIR) algorithm. Results were further compared to the standard filtered back projection (FBP) algorithm. Measurements were performed and compared across different doses and contrast levels to ascertain the MTF(Task) dependencies on those factors.
For the FBP reconstructed images, the MTF(Task) measured with the inserts were the same as the MTF measured from the wire-based method. For the ASIR and MBIR data, the MTF(Task) using the high contrast insert was similar to the wire-based MTF and equal or superior to that of FBP. However, results for the MTF(Task) measured using the low-contrast inserts, the MTF(Task) for ASIR and MBIR data was lower than for the FBP, which was constant throughout all measurements. Similarly, as a function of mA, the MTF(Task) for ASIR and MBIR varied as a function of noise--with MTF(Task) being proportional to mA. Overall greater variability of MTF(Task) across dose and contrast was observed for MBIR than for ASIR.
This approach provides a method for assessing the task-based MTF of a CT system using conventional and iterative reconstructions. Results demonstrated that the object-specific MTF can vary as a function of dose and contrast. The analysis highlighted the paradigm shift for iterative reconstructions when compared to FBP, where iterative reconstructions generally offer superior noise performance but with varying resolution as a function of dose and contrast. The MTF(Task) generated by this method is expected to provide a more comprehensive assessment of image resolution across different reconstruction algorithms and imaging tasks.
研究一种跨重建算法、剂量和对比度评估 CT 成像系统分辨率特性的测量方法。
开发了一种算法,用于从 ACR 体模(型号 464 Gammex,威斯康星州)中的棒插入物生成的磁盘图像中提取基于任务的调制传递函数(MTF)。这些插入物通常用于评估 HU 准确性。分析磁盘物体的边缘以确定边缘扩展函数,然后对其进行微分以得到线扩展函数,并对其进行傅里叶变换以生成用于基于任务评估的特定物体的 MTF,记为 MTF(任务)。该方法已通过与传统线技术进行验证,并进一步用于测量使用自适应统计迭代算法(ASIR)和基于模型的迭代(MBIR)算法重建的 CT 图像的 MTF。结果与标准滤波反投影(FBP)算法进行了比较。在不同剂量和对比度水平下进行了测量和比较,以确定 MTF(任务)对这些因素的依赖性。
对于 FBP 重建的图像,使用插入物测量的 MTF(任务)与基于线的方法测量的 MTF 相同。对于 ASIR 和 MBIR 数据,使用高对比度插入物的 MTF(任务)与基于线的 MTF 相似,并且等于或优于 FBP。然而,对于使用低对比度插入物测量的 MTF(任务),ASIR 和 MBIR 数据的 MTF(任务)低于 FBP,这在所有测量中都是恒定的。同样,作为 mA 的函数,ASIR 和 MBIR 的 MTF(任务)随噪声而变化——MTF(任务)与 mA 成正比。与 ASIR 相比,MBIR 观察到的剂量和对比度的 MTF(任务)变化更大。
该方法提供了一种使用传统和迭代重建评估 CT 系统基于任务的 MTF 的方法。结果表明,特定于物体的 MTF 可以随剂量和对比度而变化。该分析强调了与 FBP 相比,迭代重建的范式转变,其中迭代重建通常提供更好的噪声性能,但分辨率随剂量和对比度而变化。该方法生成的 MTF(任务)有望为不同重建算法和成像任务提供更全面的图像分辨率评估。