Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning.
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
01 Oct 2020
Historique:
received:
15
05
2020
revised:
28
08
2020
accepted:
28
08
2020
entrez:
5
11
2020
pubmed:
6
11
2020
medline:
6
11
2020
Statut:
epublish
Résumé
The development of real-time, wide-field and quantitative diffuse optical imaging methods to visualize functional and structural biomarkers of living tissues is a pressing need for numerous clinical applications including image-guided surgery. In this context, Spatial Frequency Domain Imaging (SFDI) is an attractive method allowing for the fast estimation of optical properties using the Single Snapshot of Optical Properties (SSOP) approach. Herein, we present a novel implementation of SSOP based on a combination of deep learning network at the filtering stage and Graphics Processing Units (GPU) capable of simultaneous high visual quality image reconstruction, surface profile correction and accurate optical property (OP) extraction in real-time across large fields of view. In the most optimal implementation, the presented methodology demonstrates megapixel profile-corrected OP imaging with results comparable to that of profile-corrected SFDI, with a processing time of 18 ms and errors relative to SFDI method less than 10% in both profilometry and profile-corrected OPs. This novel processing framework lays the foundation for real-time multispectral quantitative diffuse optical imaging for surgical guidance and healthcare applications. All code and data used for this work is publicly available at www.healthphotonics.org under the resources tab.
Identifiants
pubmed: 33149980
doi: 10.1364/BOE.397681
pii: 397681
pmc: PMC7587245
doi:
Types de publication
Journal Article
Langues
eng
Pagination
5701-5716Subventions
Organisme : NCI NIH HHS
ID : R01 CA207725
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA237267
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA250636
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 that there are no conflicts of interest related to this article.
Références
Biomed Opt Express. 2013 Nov 22;4(12):2938-44
pubmed: 24409392
J Biomed Opt. 2020 Jan;25(1):1-13
pubmed: 31925946
IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573
pubmed: 29969407
Acad Radiol. 2014 Feb;21(2):263-70
pubmed: 24439339
J Biomed Opt. 2016 Nov 1;21(11):110501
pubmed: 27901550
Med Image Anal. 2015 Feb;20(1):1-18
pubmed: 25534282
J Biomed Opt. 2011 Aug;16(8):086015
pubmed: 21895327
J Biomed Opt. 2018 Dec;24(7):1-6
pubmed: 30550050
J Biomed Opt. 2009 May-Jun;14(3):034045
pubmed: 19566337
J Biomed Opt. 2019 Mar;24(7):1-21
pubmed: 30927346
IEEE Trans Med Imaging. 2020 Jun;39(6):1988-1999
pubmed: 31899416
J Biomed Opt. 2006 Jul-Aug;11(4):041102
pubmed: 16965130
Opt Lett. 2018 Nov 15;43(22):5669-5672
pubmed: 30439924
Biomed Opt Express. 2016 May 24;7(6):2373-84
pubmed: 27375952
Neural Comput. 2017 Sep;29(9):2352-2449
pubmed: 28599112
Radiol Phys Technol. 2017 Sep;10(3):257-273
pubmed: 28689314
Nat Methods. 2019 Dec;16(12):1233-1246
pubmed: 31133758
Appl Opt. 1983 Dec 15;22(24):3977
pubmed: 18200299
J Biomed Opt. 2019 Jun;24(7):1-18
pubmed: 31222987
Lasers Surg Med. 2017 Nov;49(9):827-834
pubmed: 28586092
J Biomed Opt. 2018 Sep;24(7):1-20
pubmed: 30218503
Biomed Opt Express. 2014 Sep 08;5(10):3467-81
pubmed: 25360365
Biomed Opt Express. 2012 Jun 1;3(6):1200-14
pubmed: 22741068
Biomed Opt Express. 2015 Sep 21;6(10):4051-62
pubmed: 26504653
Biomed Opt Express. 2019 Jul 11;10(8):3916-3928
pubmed: 31452984
Plast Reconstr Surg. 2010 Dec;126(6):1924-35
pubmed: 21124132
J Biomed Opt. 2009 Mar-Apr;14(2):024012
pubmed: 19405742
Proc Natl Acad Sci U S A. 2019 Nov 26;116(48):24019-24030
pubmed: 31719196