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基于虚拟双能量减影软组织胸片生成技术计算机辅助检测肺结节 被引量：5

Computer-assisted detection of lung nodules based on virtual dual energy subtraction soft-tissue radiography generation technology
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摘要 目的探讨基于虚拟双能量减影软组织胸片生成技术计算机辅助检测肺结节的应用价值。方法收集日本放射技术学会(JSRT)数据库中经CT检出的肺结节126个,对比虚拟双能量减影软组织胸片及未结合虚拟双能量减影软组织胸片对肺结节的检出率。结果结合虚拟双能量减影软组织胸片生成技术,辅助检测系统,在平均每幅图4.5个假阳性水平下可检出80.16%(101/126)的结节;未结合虚拟双能量减影软组织胸片的原检测系统,在平均每幅图4.5个假阳性水平下检出72.22%(91/126)的结节。结论基于虚拟双能量减影软组织胸片生成技术计算机辅助检测有助于提高肺结节检出率。 Objective To discuss the application value of lung nodules computer-assisted detection based on virtual dual energy subtraction soft-tissue radiography generation technology. Methods Totally 126 lung nodules detected by CT were collected from Japan Institute of Radiological Technology （JSRT） database. The detection rates of lung nodules detected using virtual dual energy subtraction soft tissue chest radiography or not were compared. Results At the average of 4.5 false positive level per image, the detection rate of lung nodules was 80.16% （101/126） based on virtual dual energy sub- traction soft-tissue images, while the detection rate was 72.22 %（91/126） without virtual dual energy subtraction soft-tis- sue radiography generation technology. Conclusion Virtual dual energy subtraction soft-tissue radiography generation technology is helpful to improve the detection rate of lung nodules.
作者 陈宝 陈胜 何菁 张茗屋 仲思凯
机构地区 上海理工大学光电信息与计算机工程学院
出处 《中国医学影像技术》 CSCD 北大核心 2015年第8期1276-1280,共5页 Chinese Journal of Medical Imaging Technology
基金 沪江基金(C14002)
关键词 肺肿瘤 诊断显像 图像处理 计算机辅助 虚拟双能量减影 Lung neoplasms Diagnostic imaging Image processing, computer-assisted Virtual dual energy subtraction
分类号 R734.2 [医药卫生—肿瘤] R814 [医药卫生—影像医学与核医学]
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参考文献16

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中国医学影像技术
2015年 第8期

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