1024×1024重建矩阵结合迭代重建算法在腹壁下动脉CT血管成像中的应用价值  

Application value of 1024×1024 reconstruction matrix combined with iterative reconstruction algorithm in CT angiography of the deep inferior epigastric artery

作　　者：胡梦婷 刘磊[2] 王诗耕 童小雨 范勇 张竞颐 程启烨 陈安良[1] 刘义军[1] HU Mengting;LIU Lei;WANG Shigeng;TONG Xiaoyu;FAN Yong;ZHANG Jingyi;CHENG Qiye;CHEN Anliang;LIU Yijun(Department of Radiology,the First Affiliated Hospital of Dalian Medical University,Dalian,Liaoning Province 116011,China;Department of Urology,the First Affiliated Hospital of Dalian Medical University,Dalian,Liaoning Province 116011,China)

机构地区：[1]大连医科大学附属第一医院放射科,辽宁大连116011 [2]大连医科大学附属第一医院泌尿外科,辽宁大连116011

出　　处：《实用放射学杂志》2024年第11期1897-1900,1936,共5页Journal of Practical Radiology

摘　　要：目的探讨1024×1024重建矩阵结合迭代重建算法(Karl)在腹壁下动脉(DIEA)CT血管成像(CTA)中的应用价值。方法前瞻性选取行DIEA CTA检查的患者40例,对原始数据进行分组重建。A组采用常规512×512矩阵结合Karl 5级重建;B组采用1024×1024重建矩阵分别结合Karl 5、7、9级重建,获得B1~B3共3个亚组。在轴位图像上测量髂外动脉及同层面腰大肌的CT值和标准差(SD)值,计算信噪比(SNR)及对比噪声比(CNR)。由2名观察者采用3分法在容积再现(VR)和最大密度投影(MIP)图上评估DIEA穿支、肌内走行、穿出点、腹壁下浅动脉(SIEA)以及腹壁下浅静脉(SIEV)的显示情况,采用5分法在轴位图像上评估整体图像质量。结果B1~B3组随着Karl等级的提高,髂外动脉SD值逐渐下降(P<0.05),SNR、CNR逐渐升高(P<0.05);B2、B3组髂外动脉SD值均低于A组(P<0.05),SNR、CNR均高于A组(P<0.05);2名观察者主观评价一致性较好(Kappa值=0.773~0.872,P<0.05),B2组和B3组DIEA穿支、肌内走行、穿出点以及SIEA、SIEV的显示和整体图像质量主观评分均优于A组(P<0.05),其中B2组得分的提升幅度最大。结论采用1024×1024重建矩阵结合Karl 7级重建算法能够优化图像质量,提高DIEA及穿支微细血管的显示。Objective To explore the application value of 1024×1024 reconstruction matrix combined with iterative reconstruction algorithm(Karl)in deep inferior epigastric artery(DIEA)computed tomography angiography(CTA).Methods A total of 40 patients who underwent DIEA CTA were prospectively selected and the original data were reconstructed by grouping.Group A was reconstructed using a conventional 512×512 matrix combined with Karl 5 grade.Group B was reconstructed using 1024×1024 reconstruction matrix combined with Karl 5,7,and 9 grades,respectively,and 3 subgroups B1-B3 were obtained.The CT and standard deviation(SD)values of the external iliac artery and psoas major muscle were measured on axial images,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.A 3-point scale was used to evaluate the perforating vessels from the DIEA,intramuscular course,point of emergence,superficial inferior epigastric artery(SIEA)and superficial inferior epigastric vein(SIEV)on volume rendering(VR)and maximum intensity projection(MIP)images by two observers,and a 5-point scale was used to evaluate the overall image quality on axial images.Results With the increase of Karl grade in groups B1 to B3,the SD value of the external iliac artery decreased gradually(P<0.05),while SNR and CNR increased gradually(P<0.05).The SD values of the external iliac artery in group B2 and group B3 were lower than those in group A(P<0.05),and SNR and CNR were higher than those in group A(P<0.05).There was a good consistency in the subjective evaluation between the two observers(Kappa values=0.773-0.872,P<0.05).The perforating vessels from the DIEA,intramuscular course,point of emergence,SIEA and SIEV display and overall image quality subjective scores of group B2 and group B3 were better than those of group A(P<0.05),and the scores of group B2 showed the greatest improvement.Conclusion The 1024×1024 reconstruction matrix combined with the Karl 7 reconstruction algorithm can optimize the image quality and improve the display of the DI

关 键 词：腹壁下动脉 CT血管成像 重建矩阵 迭代重建算法 

分 类 号：R323.31[医药卫生—人体解剖和组织胚胎学] R814.43[医药卫生—基础医学]