Spatially resolved diffuse imaging for high-speed depth estimation of jet injection.

cutaneous administration diffuse imaging jet injection scattering transdermal drug delivery

Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
12 2019
Historique:
received: 23 05 2019
revised: 18 09 2019
accepted: 19 09 2019
pubmed: 10 10 2019
medline: 22 10 2020
entrez: 10 10 2019
Statut: ppublish

Résumé

We investigate the use of spatially resolved diffuse imaging to track a fluid jet delivered at high speed into skin tissue. A jet injector with a short needle to deliver drugs beneath the dermis, is modified to incorporate a laser beam into the jet, which is ejected into ex vivo porcine tissue. The diffuse light emitted from the side and top of the tissue sample is recorded using high-speed videography. Similar experiments, using a depth-controlled fiber optic source, generate a reference dataset. The side light distribution is related to source depth for the controlled-source experiments and used to track the effective source depth of the injections. Postinjection X-ray images show agreement between the jet penetration and ultimate light source depth. The surface light intensity profile is parameterized with a single parameter and an exponential function is used to relate this parameter to source depth for the controlled-source data. This empirical model is then used to estimate the effective source depth from the surface profile of the injection experiments. The depth estimates for injections into fat remain close to the side depth estimates, with a root-mean-square error of 1.1 mm, up to a source depth of 8 mm.

Identifiants

pubmed: 31596035
doi: 10.1002/jbio.201900205
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201900205

Subventions

Organisme : Tertiary Education Commission of New Zealand
Pays : International
Organisme : University of Auckland and the MedTech Centre of Research Excellence
ID : 3505716
Pays : International

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Kieran A Brennan (KA)

Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

Bryan P Ruddy (BP)

Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Department of Engineering Science, The University of Auckland, Auckland, New Zealand.

Poul M F Nielsen (PMF)

Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Department of Engineering Science, The University of Auckland, Auckland, New Zealand.

Andrew J Taberner (AJ)

Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Department of Engineering Science, The University of Auckland, Auckland, New Zealand.

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Classifications MeSH