• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Mediterranean Conference on Medical and Biological Engineering and Computing >Accurate Cortical Bone Detection in Peripheral Quantitative Computed Tomography Images
【24h】

Accurate Cortical Bone Detection in Peripheral Quantitative Computed Tomography Images

机译：外围定量计算断层摄影图像中精确的皮质骨检测

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An accurate assessment of the whole bone strength is an essential goal in clinical bone research. This is, however, possible only with accurate and precise description of actual bone geometry. In this paper, we introduce a refined automated approach of OBS method for accurate segmentation of cortical bone cross-sectional area. The approach employs morphological operations and utilization of two fixed thresholds. For comparison, the standard OBS and method based on level set evolution (DRLSE) were evaluated. The performance of used methods was tested on in vivo peripheral quantitative computed tomography (pQCT) images of distal tibia. As to the detection of cortical bone geometry in pQCT images, the new refined OBS method performed reasonably well and was indicating somewhat more consistent results in comparison to standard OBS and DRLSE based method.
机译：对整个骨骼强度的准确评估是临床骨骼研究的重要目标。然而，这仅是实际骨几何形状的准确和精确描述。在本文中，我们介绍了一种精致的SOMS方法自动化方法，用于精确分割皮质骨横截面积。该方法采用形态运算和使用两个固定阈值。相比之下，评估了基于水平集进化（DRLSE）的标准OB和方法。在远端胫骨的Vivo外围定量计算断层扫描（PQCT）图像中测试了使用的方法的性能。关于PQCT图像中皮质骨几何形状的检测，新的细化OBS方法合理地进行了良好的，并且与基于标准OB和DRLSE的方法相比，表明结果更加一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号