Yu Lifeng, Shiung Maria, Jondal Dayna, McCollough Cynthia H
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
J Comput Assist Tomogr. 2012 Jul-Aug;36(4):477-87. doi: 10.1097/RCT.0b013e318258e891.
The objective of this study was to develop and validate a novel noise insertion method that can accurately simulate lower-dose images from existing standard-dose computed tomography (CT) data.
The noise insertion method incorporates the effects of the bowtie filter, automatic exposure control, and electronic noise. We validated this tool using both phantom and patient studies. The phantom study compared simulated lower-dose images with the actually acquired lower-dose images. The patient studies included 105 pediatric and 24 adult CT body examinations.
The noise level in the simulated images was within 3.2% of the actual lower-dose images in phantom experiments. Noise power spectrum also demonstrated excellent agreement. For the patient examinations, a mean difference of noise level between 2.0% and 9.7% was observed for simulated dose levels between 75% and 30% of the original dose.
An accurate technique for simulating lower-dose CT images was developed and validated, which can be used to retrospectively optimize CT protocols.
本研究的目的是开发并验证一种新型噪声插入方法,该方法能够从现有的标准剂量计算机断层扫描(CT)数据中准确模拟低剂量图像。
该噪声插入方法纳入了蝴蝶结滤波器、自动曝光控制和电子噪声的影响。我们使用体模和患者研究对该工具进行了验证。体模研究将模拟的低剂量图像与实际采集的低剂量图像进行了比较。患者研究包括105例儿科和24例成人CT身体检查。
在体模实验中,模拟图像中的噪声水平在实际低剂量图像的3.2%以内。噪声功率谱也显示出极好的一致性。对于患者检查,在模拟剂量水平为原始剂量的75%至30%时,观察到噪声水平的平均差异在2.0%至9.7%之间。
开发并验证了一种用于模拟低剂量CT图像的准确技术,该技术可用于回顾性优化CT方案。