摘要
目的探讨全模型迭代重建(IMR)算法评价^(125)I粒子植入术后图像的应用价值。方法收集接受^(125)I粒子植入术及术后CT随访的16例腹部肿瘤患者,对扫描原始数据分别以滤波反投影法(FBP)、IMR和高级重建迭代(iDose^4)算法进行重建,比较3种重建方法图像的噪声、伪影指数(AI)、CNR和主观评分。结果 FBP重建图像的噪声、CNR及AI分别为(58.65±4.03)HU、1.09±0.43和51.60±9.23,iDose^4图像分别为(48.38±5.34)HU、1.29±0.48和43.77±4.91,IMR图像分别为(41.46±3.44)HU、1.58±0.56和38.51±4.64,3种重建方法图像的噪声、CNR及AI两两比较差异均有统计学意义(P均<0.05)。IMR图像的主观图像质量评分显著高于FBP和iDose^4算法图像(调整后P<0.001,P=0.011)。结论 IMR算法获得的图像质量较高,可有效减少^(125)I粒子伪影,为^(125)I粒子植入术后随访与疗效评估提供了更佳方法。
Objective To investigate the application value of model-based knowledge-based iterative reconstruction（IMR）in evaluation of CT images after ^（125）I seeds implantation.Methods Totally 16 patients with abdominal tumors and CT follow-up after ^（125）I seeds implantation were enrolled.CT data were reconstructed with the filtered back projection（FBP）,IMR and iDose^（4 ）iterative reconstruction technique,respectively.The differences of noise,artifact index（AI）,CNR and subjective scores were compared among three methods.Results The noise,CNR and AI of FBP images were（58.65±4.03）HU,1.09±0.43and 51.60±9.23,of iDose^（4 ）images were（48.38±5.34）HU,1.29±0.48 and 43.77±4.91,of IMR images were（41.46±3.44）HU,1.58±0.56 and 38.51±4.64,respectively.The differences of pairwise comparisons among three methods on noise,AI and CNR were statistically different（all P〈0.05）.The objective scores of IMR images were higher than those of FBP and iDose^（4 ）images（adjust P〈0.001,P=0.011）.Conclusion The images reconstructed with IMR have high quality,and can reduce the artifact of particle ^（125）I effectively,therefore providing a better approach for postoperative follow-up and curative effect evaluation after ^（125）I seeds implantation.
作者
韩佳悦
孙连鑫
沙琳
张晓虹
赖声远
HAN Jiayue;SUN Lianxin;SHA Lin;ZHANG Xiaohong;LAI Shengyuan(2.Department of Radiology,the Second Affiliated Hospital of Dalian Medical University,Dalian 116027,China;Department of Radiology,Unit 32120 PLA,Dalian 116500,China)
出处
《中国医学影像技术》
CSCD
北大核心
2018年第7期1090-1093,共4页
Chinese Journal of Medical Imaging Technology
基金
辽宁省自然科学基金(20170540236)
