...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Physics in medicine and biology. >A spectroscopic approach to imaging and quantification of cartilage lesions in human knee joints.
【24h】

A spectroscopic approach to imaging and quantification of cartilage lesions in human knee joints.

机译：用光谱学方法对人膝关节软骨病变进行成像和定量。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We have previously described a technology based on diffuse reflectance of broadband light for measuring joint articular cartilage thickness, utilizing that optical absorption is different in cartilage and subchondral bone. This study is the first evaluation of the technology in human material. We also investigated the prospects of cartilage lesion imaging, with the specific aim of arthroscopic integration. Cartilage thickness was studied ex vivo in a number of sites (n = 87) on human knee joint condyles, removed from nine patients during total knee replacement surgery. A reflectance spectrum was taken at each site and the cartilage thickness was estimated using the blue, green, red and near-infrared regions of the spectrum, respectively. Estimated values were compared with reference cartilage thickness values (taken after sample slicing) using an exponential model. Two-dimensional Monte Carlo simulations were performed in a theoretical analysis of the experimental results. The reference cartilage thickness of the investigated sites was 1.60 +/- 1.30 mm (mean +/- SD) in the range 0-4.2 mm. Highest correlation coefficients were seen for the calculations based on the near-infrared region after normalization to the red region (r = 0.86) and for the green region (r = 0.80).
机译：我们先前已经描述了一种基于宽带光的漫反射来测量关节软骨厚度的技术，该技术利用了软骨和软骨下骨的光吸收不同。这项研究是对人类材料技术的首次评估。我们还研究了软骨病变成像的前景，并以关节镜整合为特定目标。在人膝关节con的多个部位（n = 87）进行了离体软骨厚度的研究，在全膝关节置换手术中从9名患者中取出了软骨。在每个位置获取反射光谱，并分别使用光谱的蓝色，绿色，红色和近红外区域估算软骨厚度。使用指数模型将估计值与参考软骨厚度值（在切片后获取）进行比较。在实验结果的理论分析中进行了二维蒙特卡洛模拟。研究部位的参考软骨厚度为1.60 +/- 1.30 mm（平均+/- SD），范围为0-4.2 mm。在归一化为红色区域（r = 0.86）和绿色区域（r = 0.80）之后，基于近红外区域的计算的相关系数最高。

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