Translator Disclaimer
Paper
18 August 1997 Model validation and improved determination of chromophore concentrations in quantitative tissue spectrophotometry
Author Affiliations +
Abstract
Improved models based on Kubelka-Munk theory, as well as improved algorithms, for the quantification of chromophore concentrations in tissues based on optical multi-wavelength measurements, recorded in the visible range, are presented. The usefulness of principal component analysis (PCA) and canonical correlation analysis (CCA) for model validation is investigated and proven by many examples. It is shown how PCA is able to detect the number of independent components with variable contribution. A subsequent CCA points out these components, which should be included in the model function. Furthermore, three different methods for estimating the model parameters are presented: a nonlinear least squares (NLLS) algorithm, an ordinary least squares (LS) algorithm and a mixed LS-total least squares algorithm wLS-TLS with appropriate weights. The wLS-TLS algorithm offers the best compromise since it is almost as efficient as ordinary LS and almost as accurate as NLLS fitting.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sabine Van Huffel, Manfred D. Kessler, and Alfons Krug "Model validation and improved determination of chromophore concentrations in quantitative tissue spectrophotometry", Proc. SPIE 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II, (18 August 1997); https://doi.org/10.1117/12.280295
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top