Horiuchi Tetsuya, Yamamoto Shuji, Murase Kenya
Department of Medical Physics and Engineering, Division of Medical Technology and Science, Course of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan Department of Radiology, National Center for Child Health and Development, Tokyo, Japan.
Technol Health Care. 2013;21(5):441-54. doi: 10.3233/THC-130746.
Projection-data based method is established as an accurate simulation of low-dose CT, but cooperation of the CT manufacturer is required. Image-based method is awaited for independent and efficient research.
To develop and verify image-based method for adding noise to DICOM images.
This technique reproduces projection data by fan-beam transform of the DICOM image data and by creating and reconstructing noise projections into a noise image that can be added to the original image. A cylindrical test phantom and anthropomorphic phantom were used to verify the simulation method for both standard and adaptive iterative reconstruction methods.
The simulated images compared favorably with actual images. Standard deviation difference of the simulated images were 1.27% ± 0.81% (cylindrical phantom) and ranged from 1.61% ± 0.81% (head), to 5.41% ± 1.57% (hepatic portal region) (anthropomorphic phantom). The standard deviation difference of the cylindrical phantom with the adaptive iterative technique were 3.41% ± 1.76% at 50% ASIR and 3.85% ± 1.82% at 100% ASIR. The simulated noise power spectra of both types of images were comparable to the actual images.
We developed and validated a DICOM image-based low-dose simulation that allows researchers to perform dose reduction research independently and efficiently.
基于投影数据的方法已被确立为低剂量CT的精确模拟,但需要CT制造商的合作。基于图像的方法有待于进行独立且高效的研究。
开发并验证基于图像的向DICOM图像添加噪声的方法。
该技术通过对DICOM图像数据进行扇束变换来再现投影数据,并通过创建和重建噪声投影来生成可添加到原始图像的噪声图像。使用圆柱形测试体模和仿真人体体模对标准迭代重建方法和自适应迭代重建方法的模拟方法进行验证。
模拟图像与实际图像相比效果良好。模拟图像的标准差差异为1.27%±0.81%(圆柱形体模),范围为1.61%±0.81%(头部)至5.41%±1.57%(肝门区)(仿真人体体模)。采用自适应迭代技术的圆柱形体模在50% ASIR时的标准差差异为3.41%±1.76%,在100% ASIR时为3.85%±1.82%。两种类型图像的模拟噪声功率谱与实际图像相当。
我们开发并验证了一种基于DICOM图像的低剂量模拟方法,该方法使研究人员能够独立且高效地进行剂量降低研究。