Automatic skin lesion area determination of basal cell carcinoma using optical coherence tomography angiography and a skeletonization approach: Preliminary results.
Adult
Aged
Algorithms
Angiography
/ instrumentation
Blood Vessels
/ diagnostic imaging
Carcinoma, Basal Cell
/ blood supply
Diagnosis, Computer-Assisted
Equipment Design
Female
Humans
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Male
Middle Aged
Skin Neoplasms
/ blood supply
Tomography, Optical Coherence
/ instrumentation
basal cell carcinoma
computer-aided detection
optical coherence tomography angiography
quantification
skeletonization
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
received:
09
04
2019
revised:
15
05
2019
accepted:
16
05
2019
pubmed:
18
5
2019
medline:
17
9
2020
entrez:
18
5
2019
Statut:
ppublish
Résumé
Cutaneous blood flow plays a key role in numerous physiological and pathological processes and has significant potential to be used as a biomarker to diagnose skin diseases such as basal cell carcinoma (BCC). The determination of the lesion area and vascular parameters within it, such as vessel density, is essential for diagnosis, surgical treatment and follow-up procedures. Here, an automatic skin lesion area determination algorithm based on optical coherence tomography angiography (OCTA) images is presented for the first time. The blood vessels are segmented within the OCTA images and then skeletonized. Subsequently, the skeleton is searched over the volume and numerous quantitative vascular parameters are calculated. The vascular density is then used to segment the lesion area. The algorithm is tested on both nodular and superficial BCC, and comparing with dermatological and histological results, the proposed method provides an accurate, non-invasive, quantitative and automatic tool for BCC lesion area determination.
Identifiants
pubmed: 31100191
doi: 10.1002/jbio.201900131
pmc: PMC7065618
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
e201900131Subventions
Organisme : Austrian Science Fund
ID : P26687-N25
Pays : International
Organisme : European Union Seventh Framework Programme (FP7) Information and Communication Technologies (ICT)
ID : FAMOS 317744
Pays : International
Organisme : Horizon 2020 Framework Programme
ID : ESOTRAC 732720
Pays : International
Organisme : Austrian Research Fund FWF
ID : P26687-N25
Pays : International
Informations de copyright
© 2019 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Références
Biomed Opt Express. 2017 Nov 14;8(12):5604-5616
pubmed: 29296491
Br J Dermatol. 2002 Jul;147(1):41-7
pubmed: 12100183
J Biomed Opt. 2013 Jun;18(6):061213
pubmed: 23174911
Magn Reson Med. 2018 Jan;79(1):588-592
pubmed: 28295563
Br J Radiol. 2003;76 Spec No 1:S43-9
pubmed: 15456713
Exp Dermatol. 2018 Feb;27(2):156-165
pubmed: 29215761
Plast Reconstr Surg. 2008 May;121(5):1685-1696
pubmed: 18453993
Phys Med Biol. 2016 Nov 21;61(22):7994-8009
pubmed: 27779138
J Neurosci Methods. 2016 Sep 1;270:132-137
pubmed: 27328369
Biomed Eng Online. 2018 Jun 20;17(1):89
pubmed: 29925379
Biomed Opt Express. 2012 Oct 1;3(10):2636-46
pubmed: 23082302
J Biomed Opt. 2015 Oct;20(10):100901
pubmed: 26473588
Skin Res Technol. 2017 Nov;23(4):607-612
pubmed: 28514014
J Biomed Opt. 2014;19(7):071412
pubmed: 25079820
J Biophotonics. 2017 Jun;10(6-7):780-791
pubmed: 27545832
Br J Dermatol. 2015 Aug;173(2):428-35
pubmed: 25904111
IEEE Trans Image Process. 2018 Dec;27(12):5933-5946
pubmed: 30072325
Photochem Photobiol Sci. 2019 May 15;18(5):945-962
pubmed: 30735220
IEEE Trans Med Imaging. 2001 Jan;20(1):2-25
pubmed: 11293688
Biomed Opt Express. 2016 Jul 12;7(8):3032-48
pubmed: 27570695
Int J Biomed Imaging. 2012;2012:509783
pubmed: 22792084
Br J Plast Surg. 1993 Oct;46(7):599-606
pubmed: 8252270
Med Image Anal. 2005 Feb;9(1):39-49
pubmed: 15581811
PLoS One. 2017 Apr 24;12(4):e0176404
pubmed: 28437483
J Biomed Opt. 2014;19(7):76015
pubmed: 25036212
Arch Dermatol. 1973 Oct;108(4):528-31
pubmed: 4745285
Ultrasound Med Biol. 2010 Oct;36(10):1616-25
pubmed: 20800947
J Biomed Opt. 2014 Mar;19(3):36010
pubmed: 24623159
Eye (Lond). 2015 Jul;29(7):932-5
pubmed: 25976641
Sci Rep. 2017 Dec 21;7(1):17975
pubmed: 29269886
Adv Wound Care (New Rochelle). 2016 Aug 1;5(8):332-337
pubmed: 27602252
PLoS One. 2014 Nov 26;9(11):e113658
pubmed: 25426632
BMJ. 2003 Oct 4;327(7418):794-8
pubmed: 14525881
Skin Res Technol. 2018 Feb;24(1):145-151
pubmed: 29057513
Ophthalmology. 2017 Feb;124(2):235-244
pubmed: 27887743
J Bone Miner Res. 2013 Aug;28(8):1837-45
pubmed: 23494896
Biomed Opt Express. 2016 Feb 09;7(3):816-28
pubmed: 27231591
Quant Imaging Med Surg. 2018 Mar;8(2):135-150
pubmed: 29675355
Prog Retin Eye Res. 2018 May;64:1-55
pubmed: 29229445
J Biomed Opt. 2018 Apr;23(4):1-10
pubmed: 29701018
Skin Res Technol. 2016 May;22(2):238-246
pubmed: 26335451
J Biophotonics. 2017 Nov;10(11):1398-1410
pubmed: 28485132
IEEE J Sel Top Quantum Electron. 2010 May;16(3):545-554
pubmed: 20657761
Dermatology. 2016;232(3):298-311
pubmed: 27104356
J Biophotonics. 2019 Sep;12(9):e201900131
pubmed: 31100191
Biomed Opt Express. 2011 Apr 12;2(5):1159-68
pubmed: 21559128
Technol Cancer Res Treat. 2014 Dec;13(6):541-50
pubmed: 24206210