Published:2015
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魏淼,王思杭,温家华,刘洋,吕发金.双源双能量CT心肌灌注扫描的单能量成像对线束硬化伪影的校正研究[J].陆军军医大学学报(原第三军医大学学报),2015,37(16):1662-1667.
Wei Miao,Wang Sihang,Wen Jiahua,Liu Yang,Lyu Fajin.Beam-hardening correction for monochromatic imaging via dual-source dual-energy CT myocardial perfusion imaging[J].J Amry Med Univ (J Third Mil Med Univ),2015,37(16):1662-1667.
魏淼,王思杭,温家华,刘洋,吕发金.双源双能量CT心肌灌注扫描的单能量成像对线束硬化伪影的校正研究[J].陆军军医大学学报(原第三军医大学学报),2015,37(16):1662-1667. DOI:
Wei Miao,Wang Sihang,Wen Jiahua,Liu Yang,Lyu Fajin.Beam-hardening correction for monochromatic imaging via dual-source dual-energy CT myocardial perfusion imaging[J].J Amry Med Univ (J Third Mil Med Univ),2015,37(16):1662-1667. DOI:
目的 观察双能量CT心肌灌注成像中线束硬化伪影(beam-hardening
BH)的好发部位,比较不同单能量成像对线束硬化伪影的校正效果和图像质量。 方法 对84例需行心脏CT增强检查的拟诊或确诊冠心病患者进行双源双能量CT(100 kVp/Sn 140 kVp)心肌灌注扫描
特殊软件后处理得到心肌碘分布图和65、75、85、95、105 keV单能量图像,以自动生成的M图像(平均加权混合120 kV)为对照,观察线束硬化伪影的发生部位和数量,根据心肌碘含量、CT值、图像背景噪声(SD)、信噪比(SNR)、对比噪声比(CNR)和图像质量评分综合评价心肌单能量成像价值。 结果 65 keV单能量图像伪影计数为274,随着能量增加,伪影计数逐渐减少(P0.05);左心室的基底段伪影最明显(36.5%,100/274),其次为间隔壁(25.91%)、上腔静脉旁段(24.82%)、后壁(12.77%)(P0.05);心肌伪影区碘含量(-2.37±0.84)mg/g低于非伪影区碘含量(3.5±0.92)mg/g(t=-19.36
P0.01);85 keV的非伪影心肌CT值(93.52±18.52)HU与120 kV[(96.06±16.32)HU]最接近,CT值的组间差异有统计学意义(P0.01);85 keV的SD最小(12.98±3.16,P0.01),非伪影心肌的SNR: 75 keV(6.89±1.79)与85 keV(6.5±1.7)较高,二者无明显差别(t=1.5
P=0.14),CNR: 75 keV最高(18.79±6.76,P0.01),85 keV(15.4±5.67)与65 keV(15.53±4.56)之间无明显差别(t=0.27
P=0.79);图像质量评分:85 keV最高
两名诊断医师对六组图像进行评分,结果高度一致(Kappa=0.79
P0.01)。 结论 左心室的基底段、间隔壁和上腔静脉旁易出现线束硬化伪影;正常心肌密度在85 keV与混合能量120 kV最接近,85 keV能在最有效纠正线束硬化伪影的同时保证较好的图像质量。
Objective To observe the sites with high incidences of beam-hardening (BH) artifacts in dual-energy CT myocardial perfusion images
and compare the image quality and effect for BH correcting in different monochromatic energy images via dual-source dual-energy CT myocardial perfusion imaging. Methods Eighty-four patients requiring cardiac enhancement-CT examination with suspected or definite coronary artery disease underwent dual-energy (100 kVp/Sn 140 kVp) myocardial perfusion imaging with dual-source CT in our department
and were enrolled in this study. Iodine maps and monoenergetic images under 65
75
85
95 and 105 keV were obtained after the process of specialized post-processing software. M image (weighted polychromatic 120 kV) was generated by the system automatically and served as control. The sites and numbers of beam-hardening artifacts were observed and counted. The rate of artifacts
objective measurements of myocardial iodine content
CT value
signal-to-noise ratio (SNR)
contrast to noise ratio (CNR) and subjective image quality grades were used to comprehensively assess the value of monoenergetic images. Results The number of artifacts was 274 on 65 keV images
and was reduced gradually with the increase of keV (P0.05). The sites with high incidence of artifacts were the left ventricular basal segment 36.5% (100/274)
followed by ventricular septal segment 25.91% (71/274)
superior-vena-cava-besides segment 24.82% (68/274) and posterior segment 12.77% (35/274)(P0.05). The iodine content of myocardium was -2.37±0.84 mg/g under artifacts
significantly lower than non-under artifacts [3.5±0.92 mg/g
t=-19.36
P0.01]. The non-artifact myocardial CT number of 85 keV was 93.52±18.52 HU for non-artifact
which was the closest to polychromatic 120 keV (96.06±16.32 HU)
and significant difference was seen between them (P0.01). SD of 85 keV was the lowest (12.98±3.16). SNR of non-under artifacts in the myocardium was higher in 75 keV (6.89±1.79) and 85 keV (6.5±1.7)
with no statistical difference between the 2 groups (t=1.5
P=0.14). CNR was the highest in 75 keV (-18.79±6.76
P0.01)
and there was no statistical difference between 85 keV (-15.4±5.67) and 65 keV (-15.53±4.56
t=0.27
P=0.79). The 85 keV images got the highest image quality scores. The evaluation for image quality of the 2 radiologists was highly consistent (Kappa=0.79
P0.05). Conclusion The affected regions of beam-hardening artifacts are common in the left ventricular basal segment
ventricular septal segment and superior-vena-cava-besides segment in turn. Myocardial density of 85 keV is closest to polychromatic 120 kV image
but 85 keV can most effectively correct beam-hardening artifacts with better image quality.
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