Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging

Azin Khodaverdi, Tobias Erlöv, Jenny Hult, Nina Reistad, Agnes Pekar-Lukacs, John Albinsson, Aboma Merdasa, Rafi Sheikh, Malin Malmsjö, Magnus Cinthio

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

7 Citeringar (SciVal)

Sammanfattning

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.
Originalspråkengelska
Sidor (från-till)3836-3850
Antal sidor15
TidskriftBiomedical Optics Express
Volym12
Utgåva7
DOI
StatusPublished - 2021

Bibliografisk information

Funding Information:
Funding. Vetenskapsrådet; Lunds Tekniska Högskola, Lunds universitet; IngaBritt och Arne Lundbergs Forskn-ingsstiftelse; Stiftelsen för Synskadade i f.d. Malmöhus län; Stiftelsen Kronprinsessan Margaretas Arbetsnämnd för Synskadade; Lund University Grant for Research Infrastructure; Skåne County Council’s Research and Development Foundation; Skånes universitetssjukhus; Swedish Government Grant for Clinical Research (ALF); Knut och Alice Wallenbergs Stiftelse.

Publisher Copyright:
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Ämnesklassifikation (UKÄ)

  • Oftalmologi
  • Radiologi och bildbehandling

Nyckelord

  • Hyperspectral imaging
  • Matched filtering
  • Nanosecond pulses
  • Optical absorption
  • Optical imaging
  • Photoacoustic imaging

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