Name
Title | ||
|---|---|---|
Aligning scan acquisition circles in optical coherence tomography images of the retinal nerve fibre layer. |
Abstract | ||
|---|---|---|
Optical coherence tomography (OCT) is widely used in the assessment of retinal nerve fibre layer thickness (RNFLT) in glaucoma. Images are typically acquired with a circular scan around the optic nerve head. Accurate registration of OCT scans is essential for measurement reproducibility and longitudinal examination. This study developed and evaluated a special image registration algorithm to align the location of the OCT scan circles to the vessel features in the retina using probabilistic modelling that was optimised by an expectation-maximization algorithm. Evaluation of the method on 18 patients undergoing large number of scans indicated improved data acquisition and better reproducibility of measured RNFLT when scanning circles were closely matched. The proposed method enables clinicians to consider the RNFLT measurement and its scan circle location on the retina in tandem, reducing RNFLT measurement variability and assisting detection of real change of RNFLT in the longitudinal assessment of glaucoma. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TMI.2011.2109962 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
eye,optical tomography,probabilistic modelling,irreversible visual impairment,expectation-maximization,expectation-maximization algorithm,optical coherence tomography images,neurophysiology,image scan acquisition circles,optical coherence tomography,biomedical optical imaging,scan circle alignment,retinal nerve fibre layer thickness measuement,glaucoma,image registration algorithm,data acquisition,feature extraction,image registration,medical image processing,oct images,mathematical model,protocols,optical fiber,algorithms,expectation maximization,optical fibers,indexing terms,expectation maximization algorithm | Reproducibility,Computer vision,Optical coherence tomography,Glaucoma,Retina,Computer science,Feature extraction,Artificial intelligence,Optical tomography,Image registration,Optic nerve | Journal |
Volume | Issue | ISSN |
30 | 6 | 1558-254X |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haogang Zhu | 1 | 0 | 0.34 |
| David P Crabb | 2 | 9 | 2.00 |
| Patricio G Schlottmann | 3 | 0 | 0.34 |
| Gadi Wollstein | 4 | 57 | 6.02 |
| David Garway-Heath | 5 | 34 | 3.38 |