[1]武王将,李言,杨智. 基于CT模拟数据研究多层CHO的低对比检测性能[J].中国医学物理学杂志,2018,35(12):1462-1467.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.018]
　WU Wangjiang,LI Yan,YANG Zhi. Performance of multi-slice channelized Hotelling observer for low-contrast signal detection in simulated CT data[J].Chinese Journal of Medical Physics,2018,35(12):1462-1467.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.018]
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 基于CT模拟数据研究多层CHO的低对比检测性能()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
35卷
期数:
2018年第12期
页码:
1462-1467
栏目:
医学信号处理与医学仪器
出版日期:
2018-12-24

文章信息/Info

Title:
 Performance of multi-slice channelized Hotelling observer for low-contrast signal detection in simulated CT data
文章编号:
1005-202X（2018）12-1462-06
作者:
 武王将; 李言; 杨智
 首都医科大学生物医学工程学院， 北京 100069
Author(s):
 WU Wangjiang;  LI Yan;  YANG Zhi
 College of Biomedical Engineering, Capital Medical University, Beijing 100069, China
关键词:
 ; 通道化Hotelling观察器; 图像质量评估; 低对比检测; 计算机断层成像
Keywords:
 ; Keywords: channelized Hotelling observer;  image quality assessment;  low contrast detection;  computed tomography
分类号:
R312
DOI:
DOI:10.3969/j.issn.1005-202X.2018.12.018
文献标志码:
A
摘要:
 【摘 要】 目的：基于CT模拟数据，比较多层通道化Hotelling观察器（CHO）和单层CHO对低对比物体的检测性能。 方法：利用计算机模拟产生有、无信号两类三维图像，分别改变信号幅度及尺寸，研究单层、多层CHO对不同幅度、尺寸的信号检测性。通过比较观察者性能指标PC，定量评估多层CHO较单层CHO的低对比检测能力。 结果：当信号尺寸为2.5 mm，信号幅度分别为2.5、5.0、10.0 HU时，PC分别为0.79、0.96、1.00，层数为10时，多层CHO性能PC达饱和，对应单层CHO性能PC分别为0.67、0.78、0.93，性能分别提升了17.91%、23.08%、7.53%；当信号幅度固定为2.5 HU，信号尺寸分别为2.0、2.5、3.5、5.0、10.0 mm时，多层CHO在层数分别为8、10、8、6、3时，PC达最大，分别为0.69、0.79、0.95、0.99、1.00，对应单层CHO性能PC分别为0.63、0.67、0.74、0.86、0.96，性能分别提升9.5%、17.9%、28.4%、15.1%、4.2%。 结论：由于综合多层信息制定决策，多层CHO相比于单层CHO对低对比物体的检测能力更强。但利用多层CHO进行图像质量评估时，层数选择至关重要，应根据信号幅度、尺寸、背景噪音等因素选择合适的层数。
Abstract:
 Abstract: Objective To compare the performances of conventional single-slice channelized Hotelling observer (ssCHO) and multi-slice channelized Hotelling observer (msCHO) in the detection of low-contrast signals based on simulated CT data. Methods Three-dimensional (3D) signal-present and signal-absent images were generated from computer simulation. The amplitude and size of signals were changed to investigate the performances of ssCHO and msCHO in the detection of different signals, and the percentage of correct detection (PC) was used to quantitatively evaluate the performances of ssCHO and msCHO in the detection of low-contrast signals. Results With the signal size of 2.5 mm and signal amplitudes of 2.5, 5.0, 10.0 HU respectively, the PC was saturated when msCHO used 10 slices of 3D image (contrast object was fully covered by these slices), and the maximum PC were 0.79, 0.96, and 1.00 for msCHO, and 0.67, 0.78, and 0.93 for ssCHO, respectively. Compared to ssCHO, msCHO achieved the performance improvement by 17.91%, 23.08%, and 7.53%, respectively. When the signal amplitude remained at 2.5HU, and the signal size were 2.0, 2.5, 3.5, 5.0, 10.0 mm, respectively, the PC of msCHO using 8, 10, 8, 6, 3 slices of 3D image reached the maximum (0.69, 0.79, 0.95, 0.99, and 1.00 mm, respectively), improved by 9.5%, 17.9%, 28.4%, 15.1%, and 4.2% compared to 0.63, 0.67, 0.74, 0.86, and 0.96 of ssCHO. Conclusion msCHO using more information for decision-making, therefore, is more reliable in low-contrast signal detection than ssCHO. However, the performance of msCHO depends on the selection of the slices. The optimal number of slices should be determined based on the factors of signal amplitude, signal size, and background noise.

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备注/Memo

备注/Memo:
 【收稿日期】2018-06-12
【基金项目】北京市教育委员会科技发展计划一般项目（KM2016100-
25009）
【作者简介】武王将，研究生，研究方向：CT图像质量评估，E-mail: wang-
jiang@mail.ccmu.edu.cn
【通信作者】杨智，教授，E-mail: zhiyang@ccmu.edu.cn
更新日期/Last Update: 2018-12-26