期刊文献+

迭代重建技术在颅骨扫描中的应用及图像质量与辐射剂量的相关性研究 被引量:1

Application of Iterative Reconstruction in Skull Scanning and the Correlation Study of Image Quality and Radiation Dose
下载PDF
导出
摘要 目的探讨迭代重建(IR)算法在颅骨扫描中对图像质量及辐射剂量的影响。方法选取2013年6月—2014年12月间潍坊市人民医院脑科医院因颅骨骨折或术后行颅骨修补的80例患者为研究对象,按照随机原则分为4组,每组20例。A组采用常规滤波反投影(FBP),B^D组为低剂量组,采用IR技术逐级降低管电流,使辐射剂量分别降低50%、60%、70%,并采用自适应性统计迭代重建技术(ASIR)重建;采用单因素方差分析比较各组客观评价指标[枕骨髁间隆起周围最厚骨皮质的平均值(CT值)、图像噪声值(SD)、信噪比(SNR)、对比噪声比(CNR)]及辐射剂量[CT剂量指数(CTDI)、CT剂量长度乘积(DLP)及有效辐射剂量(ED)]的差异;采用Kruskal-Wallis检验比较各组主观图像质量评分(对比度、边缘锐利度、主观噪声及图像总体质量,采用4分法)。结果4组的CT值、SD值、SNR、CNR比较,差异无统计学意义(P>0.05);2名放射科医师对4组图像的主观评分比较,对比度、锐利度、主观噪声及图像质量的Kappa值分别为0.73、0.74、0.76、0.80,显示一致性较好(Kappa>0.75);4组显示了良好的主观图像质量,各项评分≥3分,差异无统计学意义(P>0.05);4组CTDI、DLP、ED比较,差异有统计学意义(P>0.05)。结论 IR可以降低噪声,在扫描剂量降低70%的条件下仍可得到达到诊断要求的图像质量。 Objective To assess the impacts of Iterative Reconstruction( IR) technique on the image quality and radiation dose for scull scanning reconstruction. Methods The research was conducted based on 80 patients who had suffered craniocerebral trauma or required skull repair. According to the principle of random distribution,the patients were divided into 4groups evenly,20 cases in each group. The control group( Group A) was scanned by using the conventional tube current and reconstructed by using FBP. With step-by-step reduced tube current output,the Group B,C,and D were scanned with the same k Vp but the radiation doses were reduced by 50%,60% and 70% respectively, and were reconstructed by using ASIR. Quantitative measurements of image SNR and CNR were obtained in each group. The One-way Analysis of Variance( ANOVA) was applied to the comparisons of objective evaluation indexes( CT values,SD,SNR,CNR) and those of the differences of radiation dose( CTDI, DLP, ED) between four groups. Moreover, the Kruskal-Wallis test was applied to comparisons of differences in subjective evaluations of Image Quality( Contrast Ratio,Edge Sharpness,Subjective Noise,and Overall Image Quality) between four groups. Significance test of difference was also included( a level of P 〈 0. 05 was considered to be statistically significant). Results The differences in CT values, SD、 SNR, and CNR between four groups are insignificant( P 〉 0. 05). The kappa values of contrast,sharpness,noise,and image quality were found to be 0. 73,0. 74,0. 76,and 0. 80,respectively,which demonstrates favorable consistency( Kappa 〉 0. 75). Therefore,the four groups suggest good subjective IQ( i≥3) and insignificant difference( P 〉 0. 05),and significant differences in CTDI、DLP、ED between the4 groups( P 〈 0. 05). Conclution The Iterative Reconstruction is instrumental for lowering the noise and is able to maintain the image quality satisfying the demands of diagnosing while the scanning dose is reduced by 70%.
出处 《中国全科医学》 CAS 北大核心 2017年第A02期119-121,共3页 Chinese General Practice
关键词 体层摄影术 发射型计算机 图像处理 计算机辅助 辐射剂量 Tomography,emission-computed Image processing,computer-assisted Radiation dosage
  • 相关文献

参考文献1

二级参考文献30

  • 1DeOk Z, Grimm JM, Treitl M, et al. Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: An experimental clinical study[J]. Radiology, 2013, 266(1): 197-206.
  • 2Fin L, Bailly P, Daouk J, et al. A practical way to improve contrast-to-noise ratio and quantitation for statistical-based iterative reconstruction in whole-body PETimaging[J]. Medical Physics, 2009, 36(7): 3072-3079.
  • 3Thibault JB, Sauer KD, Bouman CA, et al. A Three-dimensional statistical approach to improved image quality for multislice helical CT[J]. Medical Physics, 2007, 34(11): 4526-4544.
  • 4Silva AC, Lawder HJ, Hara A, et al. Innovations in CT dose reduction strategy: Application of the adaptive statistical iterative reconstruction algorithm[J]. American Journal of Roentgenology, 2010, 194(1): 191-199.
  • 5Yukimura Y, Isotani K, Uto T, et al. The characteristic of the image by image reconstruction method applied to successive approximation method[J]. Nihon Hoshasen Gijutsu Gakkaizasshi, 2012, 68(11): 1508-1518.
  • 6Rampado O, Bossi L, Garabello D, et al. Characterization of a computed tomography iterative reconstruction algorithm by image quality evaluations with an anthropomorphic phantom[J]. European Journal of Radiology, 2012, 81(11): 3172-3177.
  • 7Marin D, Nelson RC, Schindera ST, et al. Low-tube-voltage, high-tube-current multidetector abdominal CT: Improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm-initial clinical experience[J]. Radiology, 2010, 254(1) : i45-153.
  • 8Pearce MS, Salotti JA, Little MP, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: A retrospective cohort study[J]. Lancet, 2012, 380(9840): 499-505.
  • 9Rapalino O, Kamalian S, Kamalian S, et al. Cranial CT with adaptive statistical iterative reconstruction: Improved image quality with concomitant radiation dose reduction[J]. American Journal of Neuroradiology, 2012, 33(4): 609-615.
  • 10Kilic K, Erbas G, Guryildirim M, et al. Lowering the dose in head CT using adaptive statistical iterative reconstruction[J]. American Journal of Neuroradiology, 2011, 32(9): 1578-1582.

共引文献9

同被引文献6

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部