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目的:研究肾脏占位实质期不同水平单能量图像质量,寻找显示肾脏实性占位单能量图像的最佳keV。方法:收集在我院医学影像科行泌尿系双能量CT增强检查20例患者的临床资料及影像数据。利用实质期低能量(80 kVp)与高能量(Sn 140 kV p)图像后处理出40~120 ke V总共9组单能量图像。采用客观评价及主观评价方法对图像质量进行评估,通过客观评价分别计算出显示肾脏实性占位最高CNR和SNR单能量图像,然后与权重因子为0.5(M=0.5)的线性融合图像进行比较。主观评价由两名有经验的医学影像科医师进行评估。记录设备上提供的辐射剂量参数CTD_(Ivol),并计算SSDE。结果:入选肾脏单能量图像的病例数20例(男性13例,女性7例),CTD_(Ivol)均值为(11.54±4.09)mGy,SSDE为(14.86±3.97)mGy。客观评价:单能量图像CNR值最高是在60 ke V,SNR值最高是在70keV,分别高于线性融合图像(M=0.5),差异均具有显著统计学意义(P<0.05)。主观评价:70ke V组单能量图像与线性融合图像(M=0.5)在整体图像质量及病变细节显示差异均无显著统计学意义(P>0.05)。结论:肾脏实性占位实质期单能量图像最高CNR及SNR值分别为60 ke V及70 keV,均高于线性融合图像,然而单能量的整体图像质量及病变细节评估与线性融合图像相类似。
OBJECTIVE: To study the quality of single-energy images at different levels of the renal parenchyma during the pubertal period and to find the best keV for displaying energy images of the real-time renal occupancy. Methods: The clinical data and imaging data of 20 patients with urinary tract urinary tract enhanced CT examination in our hospital were collected. A total of nine single-energy images of 40-120 keV were post-processed using real-time low-energy (80 kVp) and high-energy (Sn 140 kV p) images. The objective and subjective evaluation methods were used to assess the image quality. The highest CNR and SNR single energy images showing the real occupancy of the kidney were calculated by objective evaluation, and then compared with the linear fusion image with the weighting factor of 0.5 (M = 0.5) . Subjective evaluation was evaluated by two experienced medical imaging physicians. Record the radiation dose parameter CTD_ (Ivol) provided on the device and calculate the SSDE. Results: There were 20 cases (13 males and 7 females) with single energy images of kidney. The mean CTvol (Ivol) was (11.54 ± 4.09) mGy, and the SSDE was (14.86 ± 3.97) mGy. Objective evaluation: The highest CNR value of single energy images was at 60 keV, the highest SNR value was at 70 keV, which was higher than that of linear fusion images (M = 0.5). The difference was statistically significant (P <0.05). Subjective evaluation: There was no significant difference in overall image quality and lesion details between single energy images and linear fusion images of 70ke V group (M = 0.5) (P> 0.05). CONCLUSIONS: The maximum CNR and SNR values of the real-life single-energy images of renal masses are 60 ke V and 70 keV, respectively, which are higher than those of linear fusion images. However, the overall image quality and lesion detail assessment of single energy are similar to those of linear fusion images .