机构地区:[1]徐州医学院附属医院影像科 [2]飞利浦中国影像研究院
出 处:《中国医学计算机成像杂志》2016年第5期457-462,共6页Chinese Computed Medical Imaging
摘 要:目的:探讨O-MAR与iDose^4迭代重建算法在TACE术后CT扫描中的优化潜能及iDose^4重建后图像在TACE术后肿瘤残存和复发中的评估价值。方法:选择肝癌TACE术后患者56例进行常规剂量上腹部CT平扫,分别采用FBP(A组)、FBP+O-MAR(B组)、iDose^4(C组)及iDose^4+O-MAR(D组)算法生成重建图像,计算噪声、CNR、SNR;按1~4分主观评价诊断信息(图像伪影、图像噪声及诊断信心),对四组处理方法得到的结果以及在不同碘油沉积类型间进行统计学比较;选择其中TACE规律治疗后半年内行CT平扫与增强,间隔3~5d行DSA复查的患者25例,比较应用FBP和iDose^4迭代重建后肿瘤残存和复发的检出情况。结果:A组与B组、C组与D组测量数值完全相同,C组噪声值较A组降低28.9%,CNR、SNR较A组分别升高30.4%、41.9%,结果差异均有统计学意义(P<0.05);与客观评价结果相一致,A组与B组、C组与D组间图像质量主观评分无统计学差异(P>0.05),C组主观评分明显高于A组,差异有统计学意义(P<0.05),不同碘油沉积类型应用四组图像处理方法后噪声值间无明显变化(P>0.05);25例患者中DSA病灶检出数为23个,应用iDose^4后肿瘤残存和复发检出数为18,FBP重建后病灶检出数为15个。结论:iDose^4迭代重建算法能够减少TACE术后肝内碘油沉积所致硬化伪影,对CT图像质量以及TACE术后肿瘤残存和复发的检出率方面均有所提高。Purpose: To evaluate the effect of O-MAR and iDose^4 iterative reconstruction algorithm on CT image quality of patients after TACE operation, and discuss the value of iDose^4 iterative reconstruction in detection of residual and recurrent tumor. Methods: Fifty-six patients with liver cancer after TACE underwent conventional abdominal CT scan. CT images were reconstructed by FBP (group A), FBP + O-MAR (group B), iDose^4 (group C) and iDose^4+ O-MAR (group D) algorithm. Subjective assessment of image quality was performed, including noise, CNR and SNR. Image artifacts, image noise and diagnostic confidence were graded (scaled: 1-4) and compared among 4 groups and different iodine oil deposit types. CT and DSA were performed in 25 patients after TACE; the average interval between the two examinations was 3-5 days. The detection rate of residual and recurrent tumor was compared between that with FBP and with iDose^4 iterative reconstruction. Results: The measured data of group A and group B, group C and group D were exactly equivalent. The noise of group C was lower than that of group A in 28.9%, CNR and SNR were increased in 30.4% and 41.9% than that of group A. The results were with statistical significant differences (P 〈0.05) . The subjective image quality score between Group A and group B, group C and group D were not with statistical significant difference ( P 〉 0.05). However, group C was with higher image quality score than group A with, the difference was with statistical significant difference (P 〈0.05). The noise values between different iodine oil deposit types had no obvious difference after application of four different reconstruction methods. Among 25 patients, 23 lesions were detected using DSA, 18 and 15 lesions were detected after application of iDose^4 and FBP iterative reconstruction respectively. Conclusion: iDose^4 iterative reconstruction algorithm can reduce the hardening artifacts caused by oil deposition after TACE, the CT image quality and
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