上海口腔医学 ›› 2017, Vol. 26 ›› Issue (6): 646-649.doi: 10.19439/j.sjos.2017.06.016

• 论著 • 上一篇    下一篇

口腔颌面部CT能谱成像降低金属伪影的效果评价

孙琦, 董敏俊, 杨星, 姜梦达, 陶晓峰   

  1. 上海交通大学医学院附属第九人民医院 放射科,上海 200011
  • 收稿日期:2017-04-11 修回日期:2017-07-10 出版日期:2017-12-20 发布日期:2018-01-09
  • 通讯作者: 董敏俊,E-mail: peter_dongmj@yeah.net
  • 作者简介:孙琦(1987-),女,本科,主管技师, E-mail:xiaosi-qiqi@yeah.net
  • 基金资助:
    上海交通大学医工(理)交叉基金(YG2014QN03)

Clinical analysis of spectrum CT imaging reducing metal artifacts of oral and maxillofacial region

SUN Qi, DONG Min-jun, YANG Xing, JIANG Meng-da, TAO Xiao-feng   

  1. Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. Shanghai 200011, China
  • Received:2017-04-11 Revised:2017-07-10 Online:2017-12-20 Published:2018-01-09

摘要: 目的: 评估能谱CT单能量成像在口腔颌面部降低金属伪影的应用效果。方法: 对46例金属植入物患者进行能谱CT成像,并测量CT值和软组织的SD(标准差)值。生成11个单能量图像组(40~140 keV,每10 keV为1组),并进行量化分析。采用SPSS 19.0软件包进行正态性检验和方差检验。结果: 20例有正畸矫治器的患者,AI最小值平均为(23.86±10.90)~(24.42±11.54)HU;同样,12例钛板植入物患者,AI最小值平均为(26.49±9.40)~(26.95±8.97)HU;14例牙充填物或固定义齿患者,其中10例AI最小值平均为(29.84±13.04)~(30.97±13.15)HU。3组平均AI值分别为(63.36±70.52)、 (70.82±105.14)和(107.35±147.57)HU,与各组70 keV单能量的平均AI值(61.46±32.06)、(70.18±62.86)和(110.28±78.70)HU相似。3组不同金属植入物患者的能谱扫描平均AI值有显著差异(P<0.05)。结论: 能谱CT成像能明显减少金属伪影的干扰,显著提高金属植入物周围结构的显示能力。70 keV是金属伪影显著降低的一个分界点;在口腔颌面部区域,去除金属伪影的最佳单能量值范围在110~140 keV。

关键词: 计算机断层扫描, 金属伪影, 能谱CT成像, 颌面部

Abstract: PURPOSE: To assess the capability of monochromatic energy images of gemstone spectral imaging(GSI) by using spectral CT in reducing metal artifacts of oral and maxillofacial region. METHODS: Spectral CT imaging was applied to 46 patients with metallic implants with GSI sequence to measure CT numbers (expressed in Hounsfield units, HU) and SD (standard deviation) numbers of the soft tissues. 11 monochromatic-image groups were obtained, ranging from 40 keV(kiloelectronvolts) to 140 keV (every 10 keV as one group). The data were analyzed with SPSS19.0 software package. RESULTS: Images in 20 subjects with orthodontic appliance, the minimal average AI ranged between (23.86±10.90) to (24.42±11.54) HU. Similarly, in 12 subjects with titanium implants, the minimal average AI ranged between (26.49±9.40) to (26.95±8.97) HU. In 10 images from 14 subjects with dental fillings or fixed dentures, the minimal average AI ranged between (29.84±13.04) to (30.97±13.15) HU. The average AI values were (63.36±70.52), (70.82±105.14) and (107.35±147.57) HU from 40 keV to 140 keV in 3 groups, respectively, which was similar to the average AI values of 70keV monochromatic images (61.46±32.06, 70.18±62.86, 110.28±78.70) HU in each corresponding group. There was a significant difference about AI value among 3 energy spectrum groups (P<0.05). CONCLUSIONS: Spectral CT imaging could obviously reduce metal artifacts, and improve the display capabilities of the structures around the metallic implants. 70 keV is the dividing point of metal artifact subtraction. The optimal energy range is at 110-140 keV in reducing metal artifacts of oral and maxillofacial region.

Key words: Computed tomography, Metal artifact, Spectral CT, Oral and maxillofacial region

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