Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging.
Journal
Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630
Informations de publication
Date de publication:
01 Jul 2021
01 Jul 2021
Historique:
received:
08
02
2021
revised:
19
04
2021
accepted:
22
04
2021
entrez:
30
8
2021
pubmed:
31
8
2021
medline:
31
8
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34457383
doi: 10.1364/BOE.422170
pii: 422170
pmc: PMC8367266
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3836-3850Informations de copyright
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.
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