uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A strategy for OCT estimation of the optic nerve head pigment epithelium central limit-inner limit of the retina minimal distance, PIMD-2π
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Ophthalmology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centre for Research and Development, Gävleborg.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Ophthalmology.ORCID iD: 0000-0002-7157-2802
2019 (English)In: Acta Ophthalmologica, ISSN 1755-375X, E-ISSN 1755-3768, Vol. 97, no 2, p. 208-213Article in journal (Refereed) Published
Abstract [en]

Purpose To develop a semi-automatic algorithm for estimation of pigment epithelium central limit-inner limit of the retina minimal distance averaged over 2 pi radians (PIMD-2 pi) and to estimate the precision of the algorithm. Further, the variances in estimates of PIMD-2 pi 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 mu m(2) and 1280 mu m(2), respectively. Considering averaging eight segmentations, a 95 % confidence interval for mean PIMD-2 pi was estimated to 212 +/- 10 mu m (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 mu m(2) and 50 mu m(2), respectively. Conclusion The developed semi-automatic algorithm enables estimation of PIMD-2 pi in glaucomatous eyes with relevant precision using few segmentations of each captured volume.

Place, publisher, year, edition, pages
2019. Vol. 97, no 2, p. 208-213
National Category
Ophthalmology Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-362723DOI: 10.1111/aos.13908ISI: 000459637900020PubMedID: 30198106OAI: oai:DiVA.org:uu-362723DiVA, id: diva2:1254381
Funder
Gun och Bertil Stohnes StiftelseAvailable from: 2018-09-10 Created: 2018-10-09 Last updated: 2019-03-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records BETA

Sandberg Melin, CamillaMalmberg, FilipSöderberg, Per G.

Search in DiVA

By author/editor
Sandberg Melin, CamillaMalmberg, FilipSöderberg, Per G.
By organisation
OphthalmologyCentre for Research and Development, GävleborgDivision of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
In the same journal
Acta Ophthalmologica
OphthalmologyMedical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf