Optimization of wavelength selection for multispectral image acquisition: a case study of atrial ablation lesions

Biomedical Optics Express
Huda AsfourNarine A Sarvazyan

Abstract

In vivo autofluorescence hyperspectral imaging of moving objects can be challenging due to motion artifacts and to the limited amount of acquired photons. To address both limitations, we selectively reduced the number of spectral bands while maintaining accurate target identification. Several downsampling approaches were applied to data obtained from the atrial tissue of adult pigs with sites of radiofrequency ablation lesions. Standard image qualifiers such as the mean square error, the peak signal-to-noise ratio, the structural similarity index map, and an accuracy index of lesion component images were used to quantify the effects of spectral binning, an increased spectral distance between individual bands, as well as random combinations of spectral bands. Results point to several quantitative strategies for deriving combinations of a small number of spectral bands that can successfully detect target tissue. Insights from our studies can be applied to a wide range of applications.

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Citations

Jul 16, 2020·Cardiovascular Engineering and Technology·Kenneth ArmstrongNarine Sarvazyan
Sep 23, 2020·Scientific Reports·Narine MuselimyanNarine Sarvazyan
Mar 7, 2019·Journal of Medical Imaging·Shuyue GuanMurray Loew
Oct 13, 2021·Scientific Reports·Soo Young ParkChristine Hendon

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