Application of smoothing splines for spectroscopic analysis in hyperspectral images

Asgeir Bjorgan; Lise L. Randeberg

doi:10.1117/12.2506618

4 March 2019 Application of smoothing splines for spectroscopic analysis in hyperspectral images

Asgeir Bjorgan, Lise L. Randeberg

Proceedings Volume 10873, Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis; 108730O (2019) https://doi.org/10.1117/12.2506618
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

The spectral and spatial resolution of hyperspectral imaging is useful for investigation of tissue autofluorescence. The low-light, noisy conditions in fluorescence imaging usually necessitates noise removal for extraction of precise spectral signatures and peak shifts. However, noise removal techniques like low-pass filtering or the Maximum Noise Fraction transform might discard information or distort spectral features. In this study, smoothing splines is proposed as an alternative technique to avoid spectral distortion in analysis of hyperspectral fluorescence images in the wavelength range 400-1000 nm. Continuous tuning parameters and use of natural cubic splines makes the method advantageous for unbiased peak extraction. The method was tested on ex vivo images of atherosclerosis lesions and simulations. The method was used to estimate autofluorescence peak shifts, and found to perform well in comparison with MNF.

Citation Download Citation

Asgeir Bjorgan and Lise L. Randeberg "Application of smoothing splines for spectroscopic analysis in hyperspectral images", Proc. SPIE 10873, Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 108730O (4 March 2019); https://doi.org/10.1117/12.2506618

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