Effect of vascular structure on laser speckle contrast 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 Oct 2020
Historique:
received: 25 06 2020
revised: 31 08 2020
accepted: 08 09 2020
entrez: 5 11 2020
pubmed: 6 11 2020
medline: 6 11 2020
Statut: epublish

Résumé

Laser speckle contrast imaging (LSCI) is a powerful tool for non-invasive, real-time imaging of blood flow in tissue. However, the effect of tissue geometry on the form of the electric field autocorrelation function and speckle contrast values is yet to be investigated. In this paper, we present an ultrafast forward model for simulating a speckle contrast image with the ability to rapidly update the image for a desired illumination pattern and flow perturbation. We demonstrate the first simulated speckle contrast image and compare it against experimental results. We simulate three mouse-specific cerebral cortex decorrelation time images and implement three different schemes for analyzing the effects of homogenization of vascular structure on correlation decay times. Our results indicate that dissolving structure and assuming homogeneous geometry creates up to ∼ 10x shift in the correlation function decay times and alters its form compared with the case for which the exact geometry is simulated. These effects are more pronounced for point illumination and detection imaging schemes, highlighting the significance of accurate modeling of the three-dimensional vascular geometry for accurate blood flow estimates.

Identifiants

pubmed: 33149989
doi: 10.1364/BOE.401235
pii: 401235
pmc: PMC7587253
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5826-5841

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB011556
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS082518
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS108484
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB007507
Pays : United States

Informations de copyright

© 2020 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.

Références

Biomed Opt Express. 2016 Feb 03;7(3):759-75
pubmed: 27231587
Neurophotonics. 2016 Jul;3(3):031412
pubmed: 27335889
Phys Med Biol. 2002 Jun 21;47(12):2059-73
pubmed: 12118601
Sci Rep. 2020 May 6;10(1):7614
pubmed: 32376983
Light Sci Appl. 2017;6:
pubmed: 29576887
J Biomed Opt. 2017 Feb 1;22(2):27006
pubmed: 28241276
J Biomed Opt. 1996 Apr;1(2):174-9
pubmed: 23014683
Circ Res. 1986 Nov;59(5):505-14
pubmed: 3802426
Neuroimage. 2014 Jan 15;85 Pt 1:51-63
pubmed: 23770408
Plast Reconstr Surg Glob Open. 2018 Sep 05;6(9):e1924
pubmed: 30349791
Biomed Opt Express. 2018 Sep 12;9(10):4792-4806
pubmed: 30319903
Opt Express. 2015 Jun 29;23(13):17145-55
pubmed: 26191723
J Opt Soc Am A Opt Image Sci Vis. 2008 Aug;25(8):2088-94
pubmed: 18677371
Philos Trans A Math Phys Eng Sci. 2011 Nov 28;369(1955):4390-406
pubmed: 22006897
Appl Opt. 2007 Apr 1;46(10):1742-53
pubmed: 17356617
J Biomed Opt. 2016 Jul 1;21(7):76001
pubmed: 27367424
Biomed Opt Express. 2015 Jun 18;6(7):2588-608
pubmed: 26203384
J Biomed Opt. 2014 Aug;19(8):086001
pubmed: 25089945
Pilot Feasibility Stud. 2017 Nov 25;3:65
pubmed: 29209513
J Biomed Opt. 2010 Nov-Dec;15(6):066030
pubmed: 21198204
Neurophotonics. 2014 Jul;1(1):015006
pubmed: 26157974
Microcirculation. 2005 Jan-Feb;12(1):5-15
pubmed: 15804970
Neurophotonics. 2018 Jul;5(3):035003
pubmed: 30137881
J Cereb Blood Flow Metab. 2015 Jul;35(7):1076-84
pubmed: 25944593
Biomed Opt Express. 2019 Jan 15;10(2):584-599
pubmed: 30800501

Auteurs

Chakameh Z Jafari (CZ)

Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

Colin T Sullender (CT)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

David R Miller (DR)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

Samuel A Mihelic (SA)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

Andrew K Dunn (AK)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

Classifications MeSH