Oberg P A, Sundqvist T, Johansson A
Department of Biomedical Engineering, Linköpings Universitet, Linköping, Sweden.
Med Biol Eng Comput. 2004 Jan;42(1):3-8. doi: 10.1007/BF02351004.
A new principle for cartilage layer thickness assessments in joints is presented. It is based on the differences between the absorption spectra of cartilage and subchondral bone (containing blood). High-resolution ultrasound measurements of cartilage thickness were compared with reflection spectroscopy data from the same area of bovine hip joint condyles. A simple mathematical model allowed calculation of thickness and comparison with ultrasound data. The cartilage thickness was changed by being ground in short episodes. For thicker cartilage layers, a high degree of reflection in the 400-600 nm wavelength interval was seen. For thinner cartilage layers, the characteristics of the spectra of blood and bone dominated those of cartilage. The mean (+/- SD) thickness of intact cartilage was 1.21 +/- 0.30 mm (n = 30). In an exponential regression model, spectroscopic estimation of cartilage thickness showed a correlation coefficient of r = 0.69 (n = 182). For thinner cartilage layers (d < 0.5 mm), the mean model error was 0.19 +/- 0.17 mm. Results from a bi-layer Monte Carlo simulation supported the assumption of an exponential relationship between spectroscopy data and reference ultrasound data. The conclusion is that optical reflection spectroscopy can be used for cartilage layer thickness assessment.
提出了一种用于关节软骨层厚度评估的新原理。它基于软骨与软骨下骨(含血液)吸收光谱之间的差异。将软骨厚度的高分辨率超声测量结果与来自牛髋关节髁同一区域的反射光谱数据进行了比较。一个简单的数学模型可以计算厚度并与超声数据进行比较。通过短时间研磨改变软骨厚度。对于较厚的软骨层,在400 - 600 nm波长区间观察到高度反射。对于较薄的软骨层,血液和骨骼的光谱特征主导了软骨的光谱特征。完整软骨的平均(±标准差)厚度为1.21±0.30 mm(n = 30)。在指数回归模型中,软骨厚度的光谱估计显示相关系数r = 0.69(n = 182)。对于较薄的软骨层(d < 0.5 mm),平均模型误差为0.19±0.17 mm。双层蒙特卡罗模拟结果支持了光谱数据与参考超声数据之间存在指数关系的假设。结论是光学反射光谱可用于软骨层厚度评估。