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首页> 外文期刊>Nuclear Medicine Communications >Automated segmentation of the skeleton in whole-body bone scans: Influence of difference in atlas
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Automated segmentation of the skeleton in whole-body bone scans: Influence of difference in atlas

机译:全身骨骼扫描中骨骼的自动分割:图集差异的影响

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AIM: Automated segmentation of the skeleton is the first step for quantitative analysis and computer-aided diagnosis (CAD) of whole-body bone scans. The purpose of this study was to examine the influence of differences in skeletal atlas on the automated segmentation of skeletons in a Japanese patient group. METHODS: The study was based on a bone scan CAD system that included a skeletal atlas obtained using 10 normal bone scans from European patients and 23 normal bone scans from Japanese patients. These were incorporated into the CAD system. The performance of the skeletal segmentation, based on either the European or the Japanese Atlas, was evaluated independently by three observers in a group of 50 randomly selected bone scans from Japanese patients. RESULTS: The skeletal segmentation was classified as correct in 41-44 of the 50 cases by the three observers using the Japanese atlas. The corresponding results were 15-18 of the 50 cases using the European atlas, and this difference was statistically significant (P<0.001). The anatomical areas most commonly classified as not correct were the skull, cervical vertebrae, and ribs. CONCLUSION: Automated segmentation of the skeleton in a Japanese patient group was more successful when the CAD system based on a Japanese atlas was used than when the corresponding system based on a European atlas was used. The results of this study indicate that it is of value to use a skeletal atlas based on normal Japanese bone scans in a CAD system for Japanese patients.
机译:目的:自动分割骨骼是全身骨骼扫描定量分析和计算机辅助诊断(CAD)的第一步。这项研究的目的是检查骨骼图谱差异对日本患者组骨骼自动分割的影响。方法:该研究基于骨骼扫描CAD系统,该系统包括使用来自欧洲患者的10例正常骨骼扫描和来自日本患者的23例正常骨骼扫描获得的骨骼图谱。这些已合并到CAD系统中。在欧洲或日本地图集的基础上,由三名观察员分别对来自日本患者的50个随机选择的骨扫描结果进行了骨骼分割的性能评估。结果:三位观察者使用日本地图集将50例病例中的41-44例分类为正确。使用欧洲地图集的相应结果为50例病例中的15-18例,这一差异具有统计学意义(P <0.001)。最常归类为不正确的解剖区域是头骨,颈椎和肋骨。结论:使用基于日本图集的CAD系统比使用基于欧洲图集的相应系统时,日本患者组的骨骼自动分割更加成功。这项研究的结果表明,在日本人的CAD系统中,使用基于正常日本人骨骼扫描的骨骼图谱是有价值的。

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