@article{4ab057254b944299bede693cca16e7c8,
title = "Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging",
abstract = "The adaptive matched filter (AMF) is a method widely used in spectral unmixing to classify different tissue chromophores in photoacoustic images. However, a threshold needs to be applied to the AMF detection image to distinguish the desired tissue chromophores from the background. In this study, we propose an automatic threshold selection (ATS) algorithm capable of differentiating a target from the background, based on the features of the AMF detection image. The mean difference between the estimated thickness, using the ATS algorithm, and the known values was 0.17 SD (0.24) mm for the phantom inclusions and -0.05 SD (0.21) mm for the tissue samples of malignant melanoma. The evaluation shows that the thickness and the width of the phantom inclusions and the tumors can be estimated using AMF in an automatic way after applying the ATS algorithm.",
keywords = "Hyperspectral imaging, Matched filtering, Nanosecond pulses, Optical absorption, Optical imaging, Photoacoustic imaging",
author = "Azin Khodaverdi and Tobias Erl{\"o}v and Jenny Hult and Nina Reistad and Agnes Pekar-Lukacs and John Albinsson and Aboma Merdasa and Rafi Sheikh and Malin Malmsj{\"o} and Magnus Cinthio",
note = "Funding Information: Funding. Vetenskapsr{\aa}det; Lunds Tekniska H{\"o}gskola, Lunds universitet; IngaBritt och Arne Lundbergs Forskn-ingsstiftelse; Stiftelsen f{\"o}r Synskadade i f.d. Malm{\"o}hus l{\"a}n; Stiftelsen Kronprinsessan Margaretas Arbetsn{\"a}mnd f{\"o}r Synskadade; Lund University Grant for Research Infrastructure; Sk{\aa}ne County Council{\textquoteright}s Research and Development Foundation; Sk{\aa}nes universitetssjukhus; Swedish Government Grant for Clinical Research (ALF); Knut och Alice Wallenbergs Stiftelse. Publisher Copyright: {\textcopyright} 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
doi = "10.1364/BOE.422170",
language = "English",
volume = "12",
pages = "3836--3850",
journal = "Biomedical Optics Express",
issn = "2156-7085",
publisher = "Optical Society of America",
number = "7",
}