Real-time, multi-spectral motion artefact correction and compensation for laser speckle contrast imaging.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 12 2022
Historique:
received: 30 08 2022
accepted: 09 12 2022
entrez: 15 12 2022
pubmed: 16 12 2022
medline: 20 12 2022
Statut: epublish

Résumé

Laser speckle contrast imaging (LSCI) is so sensitive to motion that it can measure the movement of red blood cells. However, this extreme sensitivity to motion is also its pitfall as the clinical translation of LSCI is slowed down due to the inability to deal with motion artefacts. In this paper we study the effectiveness of a real-time, multi-spectral motion artefact correction and compensation by subduing an in vitro flow phantom and ex vivo porcine kidney to computer-controlled motion artefacts. On the in vitro flow phantom, the optical flow showed a good correlation with the total movement. This model results in a better signal-to-noise ratios for multiple imaging distances and the overestimation of perfusion was reduced. In the ex vivo kidney model, the perfusion overestimation was also reduced and we were still able to distinguish between ischemia and non-ischemia in the stabilized data whereas this was not possible in the non-stabilized data. This leads to a notably better perfusion estimation that could open the door to a multitude of new clinical applications for LSCI.

Identifiants

pubmed: 36522524
doi: 10.1038/s41598-022-26154-6
pii: 10.1038/s41598-022-26154-6
pmc: PMC9755276
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

21718

Informations de copyright

© 2022. The Author(s).

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Auteurs

Wido Heeman (W)

Faculty Campus Fryslân, University of Groningen, Wirdumerdijk 34, Leeuwarden, 8911 CE, The Netherlands. w.t.heeman@umcg.nl.
Department of Surgery, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands. w.t.heeman@umcg.nl.
LIMIS Development BV, Henri Dunantweg 2, Leeuwarden, 8934 AD, The Netherlands. w.t.heeman@umcg.nl.

Hanno Maassen (H)

Department of Surgery, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Department of Pathology and Medical Biology, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.

Klaas Dijkstra (K)

Centre of Expertise in Computer Vision and Data Science, NHL Stenden University of Applied Sciences, Rengerslaan 8-10, Leeuwarden, 8917 DD, The Netherlands.

Joost Calon (J)

ZiuZ Visual Intelligence, Stationsweg 3, Gorredijk, 8401 DK, The Netherlands.

Harry van Goor (H)

Department of Pathology and Medical Biology, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.

Henri Leuvenink (H)

Department of Surgery, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.

Gooitzen M van Dam (GM)

Department of Surgery, University Medical Centre Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.

E Christiaan Boerma (EC)

Faculty Campus Fryslân, University of Groningen, Wirdumerdijk 34, Leeuwarden, 8911 CE, The Netherlands.
Department of Intensive Care, Medical Centre Leeuwarden, Henri Dunantweg 2, Leeuwarden, 8934 AD, The Netherlands.

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Classifications MeSH