Bio-Medical Research institute, Kyungpook National University Hospital, Korea.
Nonlinear Dynamics Laboratory, Kyungpook National University, Sangyeok-dong, Buk-gu, Daegu, Korea.
Technol Health Care. 2022;30(S1):3-10. doi: 10.3233/THC-228001.
CT images are often affected by blooming artifacts during the diagnosis that facilitate an overestimation of the expression of calcification stenosis, thereby impeding the accurate diagnosis of this condition.
Arterial calcification can act as a blooming artifact in computed tomography (CT) images, leading to overestimations of the blood vessel and the size of calcified plaque. This study proposes an improved CT post-processing method that accurately measures calcium and lumen size in blood vessels.
Six hundred and thirty calcium datasets were obtained from 63 patients diagnosed with a vascular disease. Patients were grouped into three sets corresponding to each image acquisition method used: G1, for the invasive coronary angiography (ICA); G2, for multiplanar reconstruction (MPR) imaging and post-processing; and G3, for the novel method of mixed Gaussian filter and K-mean clustering (GK). Results of GK were generated by adding Gaussian and k-mean clustering algorithms to the MPR post-processing procedure. The analysis of variance (ANOVA), linear regression, and intraclass correlation coefficient (ICC) were used to compare the accuracy and sensitivity of the different methods. All measurements were performed multiple times to mitigate human error.
The ANOVA test revealed no significant differences between the G1 and G3 groups. Hence, linear regression was used to analyze the correlation between the G1 and G3 groups (p< 0.05, R2 = 0.885), and a higher correlation than G1 and G2 was reported (p> 0.05, R2 = 0.432). ICC was performed for reproducibility, wherein high correlation was identified among all groups.
Results of the study indicate that the GK method yields images that are very similar to ICA image measurements. This suggests that the GK can be used as a more effective post-processing method over the inaccurate MPR while remaining non-intrusive when determining the arterial stenosis degree, unlike the ICA.
在诊断过程中,CT 图像经常受到blooming 伪影的影响,这使得钙化狭窄的表达被高估,从而阻碍了对这种情况的准确诊断。
动脉钙化在计算机断层扫描(CT)图像中可表现为 blooming 伪影,导致血管和钙化斑块的大小被高估。本研究提出了一种改进的 CT 后处理方法,可准确测量血管中的钙和管腔大小。
从 63 名被诊断为血管疾病的患者中获得了 630 个钙数据集。患者被分为三组,对应于使用的每种图像采集方法:G1,用于有创冠状动脉造影(ICA);G2,用于多平面重建(MPR)成像和后处理;G3,用于混合高斯滤波器和 K-均值聚类(GK)的新方法。GK 的结果是通过在 MPR 后处理过程中添加高斯和 k-均值聚类算法生成的。使用方差分析(ANOVA)、线性回归和组内相关系数(ICC)来比较不同方法的准确性和灵敏度。所有测量均进行了多次,以减少人为误差。
方差分析(ANOVA)检验显示 G1 组和 G3 组之间没有显著差异。因此,使用线性回归分析 G1 组和 G3 组之间的相关性(p<0.05,R2=0.885),并报告 G1 组和 G3 组之间的相关性高于 G1 组和 G2 组(p>0.05,R2=0.432)。进行了 ICC 以评估重现性,其中所有组之间均存在高度相关性。
研究结果表明,GK 方法生成的图像与 ICA 图像测量非常相似。这表明,与不准确的 MPR 相比,GK 可以作为一种更有效的后处理方法,同时在确定动脉狭窄程度时,与 ICA 不同,它是非侵入性的。