Level-Set Method for Image Analysis of Schlemm's Canal and Trabecular Meshwork.
Schlemm's canal
image segmentation
intraocular pressure
trabecular meshwork
ultrasound biomicroscopy
Journal
Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
24
03
2020
accepted:
19
07
2020
entrez:
21
9
2020
pubmed:
22
9
2020
medline:
22
9
2020
Statut:
epublish
Résumé
To evaluate different segmentation methods in analyzing Schlemm's canal (SC) and the trabecular meshwork (TM) in ultrasound biomicroscopy (UBM) images. Twenty-six healthy volunteers were recruited. The intraocular pressure (IOP) was measured while study subjects blew a trumpet. Images were obtained at different IOPs by 50-MHz UBM. ImageJ software and three segmentation methods- A total of 104 UBM images were obtained. Among them, 84 were adequately clear to be segmented. The level-set method results had a higher similarity to ImageJ results than the other two methods. The ICC values of the level-set method were 0.97, 0.95, 0.9, and 0.57, respectively. Pearson correlation coefficients for the IOP to the SC area, SC perimeter, SC length, and TM width were -0.91, -0.72, -0.66, and -0.61 ( The level-set method showed better accuracy than the other two methods. Compared with manual methods, it can achieve similar precision, better repeatability, and greater efficiency. Therefore, the level-set method can be used for reliable UBM image segmentation. The level-set method can be used to analyze TM and SC region in UBM images semiautomatically.
Identifiants
pubmed: 32953247
doi: 10.1167/tvst.9.10.7
pii: TVST-20-2450
pmc: PMC7476667
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
7Informations de copyright
Copyright 2020 The Authors.
Déclaration de conflit d'intérêts
Disclosure: X. Wang, None; Y. Zhai, None; X. Liu, None; W. Zhu, None; J. Gao, None
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