Document Type

Journal Article

Publication Date

2018

Journal

Biomedical Optics Express

Volume

9

Issue

5

Inclusive Pages

2189-2204

DOI

10.1364/BOE.9.002189

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.

Comments

Reproduced with permission of OSA Publishing. Biomedical Optics Express

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Peer Reviewed

1

Open Access

1

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