A strategy for OCT estimation of the optic nerve head pigment epithelium central limit‐inner limit of the retina minimal distance, PIMD‐2π

Purpose To develop a semi‐automatic algorithm for estimation of pigment epithelium central limit‐inner limit of the retina minimal distance averaged over 2π radians (PIMD‐2π) and to estimate the precision of the algorithm. Further, the variances in estimates of PIMD‐2π were to be estimated in a pilo...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Acta ophthalmologica (Oxford, England) Ročník 97; číslo 2; s. 208 - 213
Hlavní autoři: Sandberg Melin, Camilla, Malmberg, Filip, Söderberg, Per G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Wiley Subscription Services, Inc 01.03.2019
Témata:
Adult
Algorithms
Computerized Image Processing
Datoriserad bildbehandling
Epithelium
Eye
Glaucoma
Glaucoma - diagnosis
Humans
Imaging, Three-Dimensional - methods
OCT
Optic Disk - pathology
Optic nerve
optic nerve head
PIMD
precision
Reference Values
Reproducibility of Results
Retina
Retinal Pigment Epithelium - pathology
Segmentation
Software
Tomography, Optical Coherence - methods
OCT
PIMD
optic nerve head
glaucoma
precision
ISSN:1755-375X, 1755-3768, 1755-3768
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Purpose To develop a semi‐automatic algorithm for estimation of pigment epithelium central limit‐inner limit of the retina minimal distance averaged over 2π radians (PIMD‐2π) and to estimate the precision of the algorithm. Further, the variances in estimates of PIMD‐2π were to be estimated in a pilot sample of glaucomatous eyes. Methods Three‐dimensional cubes of the optic nerve head (ONH) were captured with a commercial SD‐OCT device. Raw cube data were exported for semi‐automatic segmentation. The inner limit of the retina was automatically detected. Custom software aided the delineation of the ONH pigment epithelium central limit resolved in 500 evenly distributed radii. Sources of variation in PIMD estimates were analysed with an analysis of variance. Results The estimated variance for segmentations and angles was 130 μm2 and 1280 μm2, respectively. Considering averaging eight segmentations, a 95 % confidence interval for mean PIMD‐2π was estimated to 212 ± 10 μm (df = 7). The coefficient of variation for segmentation was estimated at 0.05. In the glaucomatous eyes, the within‐subject variance for captured volumes and for segmentations within volumes was 10 μm2 and 50 μm2, respectively. Conclusion The developed semi‐automatic algorithm enables estimation of PIMD‐2π in glaucomatous eyes with relevant precision using few segmentations of each captured volume.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1755-375X
1755-3768
1755-3768
DOI:10.1111/aos.13908