Shimada Hirotaka, Otake Hidenori, Higuchi Tetsuya, Arisaka Yukiko, Oriuchi Noboru, Endo Keigo
Department of Radiology, Gunma University Hospital.
Kaku Igaku. 2012 Nov;49(4):341-9.
The purpose of our study is the establishment of normal database (NDB) from persons (aged 50-80 years) for 3D-SSP analysis of 123I-IMP brain perfusion SPECT image, and we analyzed whether the presence or absence of image correction methods, scatter correction (SC) and attenuation correction (AC), affects the created NDB and 3D-SSP analysis.
We created NDB from 63 healthy volunteers (32 males and 31 females, aged 50-80 years), and calculated the coefficient of variation for each pixel from the mean value and standard deviation. Next, we compared the visual assessments of the standard deviation images by each image correction method, and the coefficient of variation of SEE analysis in each part of the brain. Furthermore, we examined frontotemporal dementia and healthy volunteers by 3D-SSP analysis, and evaluated the differences of Z-score in the presence or absence of image correction methods.
In NDB, the coefficient of variation was the minimum when SC and AC were not applied and the maximum in periventricular and cerebellum when SC and AC were applied. In Z-score image of 3D-SSP analysis, Z-score of the low value was the maximum when SC and AC were not applied.
It was shown that the results from NDB coefficient of variation and 3D-SSP analysis were affected by the differences of image correction methods. It is important to understand the feature of imaging reconstruction conditions in your own facilities, and evaluate 3D-SSP analysis.
本研究的目的是建立50至80岁人群的正常数据库(NDB),用于123I-IMP脑灌注SPECT图像的三维统计参数映射(3D-SSP)分析,并分析图像校正方法(散射校正(SC)和衰减校正(AC))的有无是否会影响所创建的NDB和3D-SSP分析。
我们从63名健康志愿者(32名男性和31名女性,年龄50至80岁)建立了NDB,并根据平均值和标准差计算每个像素的变异系数。接下来,我们比较了每种图像校正方法对标准差图像的视觉评估,以及大脑各部分SEE分析的变异系数。此外,我们通过3D-SSP分析检查了额颞叶痴呆患者和健康志愿者,并评估了有无图像校正方法时Z分数的差异。
在NDB中,不应用SC和AC时变异系数最小,应用SC和AC时脑室周围和小脑的变异系数最大。在3D-SSP分析的Z分数图像中,不应用SC和AC时低值Z分数最大。
结果表明,NDB变异系数和3D-SSP分析的结果受图像校正方法差异的影响。了解自身设备的成像重建条件特征并评估3D-SSP分析非常重要。