Web-based bone age assessment by content-based image retrieval for case-based reasoning
Web-based bone age assessment by content-based image retrieval for case-based reasoning
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DOI：
10.1007/s11548-011-0627-8
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发表时间：
2012-05-01
影响因子：
3
通讯作者：
Deserno, Thomas M.
中科院分区：
文献类型：
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作者：
Fischer, Benedikt;Welter, Petra;Deserno, Thomas M.
通过放射学骨龄评估（BAA）评估成熟度是儿科放射科医生的一项常见任务。按照Greulich和Pyle的方法，将所有手骨与标准图谱进行比较，或者根据坦纳和怀特豪斯的方法检查一部分骨。我们支持BAA比较骨骺的当前情况下，类似的情况下，验证骨龄基于内容的图像检索（CBIR）。一个基于Web的原型基于案例的检索系统BAA的开发和公开。可通过基于图像的查询检索来自USC数据库或用户上传的手部X线照片。通过CBIR检索每个骨骺的10个最佳匹配病例，并显示其BAA、相似性评分和派生的年龄估计。相似性通过互相关来近似。USC手部数据库包括1，101例病例，包括年龄在0至18岁之间的四个性别种族，有X光片和两个注释的BAA。USC图像数据通过标记掌骨和远端指骨之间的骨骺中心而得到丰富，与平均USC-BAA相比，留一法实验的平均误差率为0.99年，标准差为0.76年。研究原型使放射科医生能够根据检索病例的相似性和导出的年龄来判断他们的一致性。CBIR为放射科医生提供了BAA的第二意见。可以建立自解释的Web应用程序来支持工作流集成。相似性计算和界面可用性的增强可以进一步改进系统。
Maturity estimation by radiological bone age assessment (BAA) is a frequent task for pediatric radiologists. Following Greulich and Pyle, all hand bones are compared with a standard atlas, or a subset of bones is examined according to Tanner and Whitehouse. We support BAA comparing the epiphyses of a current case to similar cases with validated bone age by content-based image retrieval (CBIR).A web-based prototype case-based retrieval system for BAA was developed and is publicly available. Hand radiographs from the USC database or user uploads may be retrieved by image-based query. The ten best matching cases for each epiphysis are retrieved by CBIR and displayed with their BAA, similarity score, and the derived age estimate. The similarity is approximated by cross-correlation. The USC hand database includes 1,101 cases comprising four ethnic groups of both genders between zero and 18 years of chronological age with radiographs and two annotated BAA. The USC image data have been enriched by marking the epiphyseal centers between metacarpals and distal phalanges.Leave-one-out experiments yielded a mean error rate of 0.99 years and a standard deviation of 0.76 years in comparison with the mean USC-BAA. The research prototype enables radiologists to judge their agreement based on similarity of retrieved cases and the derived age.CBIR provides support to the radiologist with a second opinion for BAA. Self-explanatory web applications can be established to support workflow integration. Enhancements in similarity computation and interface usability may further improve the system.