[1]朱熹,叶靖,王志军,等. 并行采集技术在头颅磁共振中产生伪影的原因及处理方法[J].中国医学物理学杂志,2019,36(9):1039-1044.[doi:DOI:10.3969/j.issn.1005-202X.2019.09.009]
 ZHU Xi,YE Jing,WANG Zhijun,et al. Causes and solutions of artifacts caused by array spatial sensitivity encoding technique in brain MRI[J].Chinese Journal of Medical Physics,2019,36(9):1039-1044.[doi:DOI:10.3969/j.issn.1005-202X.2019.09.009]
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 并行采集技术在头颅磁共振中产生伪影的原因及处理方法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第9期
页码:
1039-1044
栏目:
医学影像物理
出版日期:
2019-09-25

文章信息/Info

Title:
 Causes and solutions of artifacts caused by array spatial sensitivity encoding technique in brain MRI
文章编号:
1005-202X(2019)09-1039-06
作者:
 朱熹叶靖王志军孙继全朱庆强夏巍
 扬州大学临床医学院, 江苏 扬州 225000
Author(s):
 ZHU Xi YE Jing WANG Zhijun SUN Jiquan ZHU Qingqiang XIA Wei
 Clinical Medical College, Yangzhou University, Yangzhou 225000, China
关键词:
 磁共振头颅T1 FLAIR伪影并行采集技术
Keywords:
 Keywords: magnetic resonance imaging brain T1 FLAIR artifact array spatial sensitivity encoding technique
分类号:
R312;R445.2
DOI:
DOI:10.3969/j.issn.1005-202X.2019.09.009
文献标志码:
A
摘要:
 目的:探讨头颅MRI T1 FLAIR序列中不明原因高信号弧形伪影的成因,并进行序列优化。方法:连续选择300例临床病例及60例水模,分别分为A、B、C 3组行MRI扫描。临床组A组100例,使用常规参数;B组100例,降低并行采集技术(ASSET)加速因子为1.50;C组100例,去除ASSET选项,降低激励次数为1。水模组采用同种分组方式与扫描参数。对各组所产生伪影图像的例数以及图像质量进行客观及主观数据统计学分析。结果:临床组图像中出现伪影的例数分别为A组12例、B组7例、C组0例。经Bonferroni法进行多重比较,A组与B组比较差异无统计学意义,A组与C组、B组与C组比较差异均有统计学意义。3组图像脑实质信噪比分别为37.6±10.2、38.7±10.4、37.2±12.0。客观比较各组图像质量,均无统计学意义(P>0.05)。3组图像质量主观数据:A组总得分为395分,B组424分,C组455分。使用Kruskal-Wallis检验对3组总分进行统计学分析,有统计学意义。使用Mann-Whitney U检验进行A组与B组、A组与C组、B组与C组间比较,差异均有统计学意义。水模组客观图像质量与伪影数结果与临床组相符。结论:在设置头颅MRI T1 FLAIR序列时放弃使用ASSET并降低激励次数为1,或适当降低加速因子,可在保证图像质量与扫描效率的同时有效消除高信号弧形伪影。
Abstract:
 Abstract: Objective To explore the cause of unexplained high signal artifacts in T1 FLAIR sequence of brain magnetic resonance imaging (MRI) and optimize the sequence. Methods A total of 300 clinical cases and 60 water phantoms were selected and divided into group A, B and C for MRI examination. For the 3 clinical groups, with 100 clinical cases in each group, routine parameters were adopted in group A; the ASSET acceleration factor in group B was decreased to 1.50; and in group C, ASSET option was removed and the number of excitation was abated to 1. The water phantoms were also grouped in the same way and the same scanning parameters were adopted in the corresponding groups. The number of cases with image artifacts was recorded, and the image quality was analyzed objectively and subjectively. Results For the 3 clinical groups, there were 12 cases in group A, 7 in group B and 0 in group C having image artifacts. The multiple comparison with Bonferroni test showed that statistical significances were found between group A and group C, group B and group C, but not between group A and group B. The signal-to-noise ratios of brain parenchyma in 3 groups were 37.6±10.2, 38.7±10.4 and 37.2±12.0, respectively. The objective comparison of image quality revealed that the difference among 3 groups was trivial, without statistical significance (P>0.05). The total score of the subjective evaluation of image quality in group A, B and C was 395, 424 and 455, respectively, and the Kruskal-Wallis test for the statistical analysis on the total score showed that there were statistical differences among 3 groups. Moreover, Mann-Whitney U test was used for the comparisons between group A and group B, group A and group C, group B and group C, and the test results showed that the differences between these groups were statistical significant. The objective evaluation of image quality and the number of cases with image artifacts in water phantom groups were coincided with those of clinical groups. Conclusion Giving up ASSET and reducing NEX to 1, or decreasing acceleration factor properly when setting T1 FLAIR sequence of brain MRI can ensure the image quality and eliminate unexplained high signal artifacts.

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备注/Memo

备注/Memo:
 【收稿日期】2019-03-18
【基金项目】江苏省科教强卫青年医学重点人才资助项目(QNRC2016349)
【作者简介】朱熹,技师,研究方向:医学影像技术,E-mail: yzdxlcyxyzhuxi@qq.com
【通信作者】夏巍,副主任技师,研究方向:医学影像技术,E-mail: gangqiaxia@163.com;叶靖,主任医师,研究方向:医学影像学,E-mail: yzhyejing@163.com
更新日期/Last Update: 2019-09-23