7 March 2006 PLS regression approach for oxygen saturation in spectroscopic fundus images
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Proceedings Volume 6138, Ophthalmic Technologies XVI; 61381P (2006) https://doi.org/10.1117/12.644022
Event: SPIE BiOS, 2006, San Jose, California, United States
Two-dimensional distribution of oxygen saturation levels across the human retina is predicted by measuring the multispectral images. A liquid crystal tunable filter is used to scan wavelength ranging from 500 to 700 nm to acquire the multispectral images with the spectral resolution of 20 nm. After preprocessing reflected spectra at every pixel to cancel common offsets and amplifications, the partial least squares regression is adopted to estimate the oxygen saturation levels at each pixel point. All the resulted response values compose the oxygen saturation level map. The effects of preprocessing types on the predicted oxygen saturation levels are also discussed.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hidenobu Arimoto, Hidenobu Arimoto, Hiromitsu Furukawa, Hiromitsu Furukawa, Masanori Hangai, Masanori Hangai, "PLS regression approach for oxygen saturation in spectroscopic fundus images", Proc. SPIE 6138, Ophthalmic Technologies XVI, 61381P (7 March 2006); doi: 10.1117/12.644022; https://doi.org/10.1117/12.644022

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