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Registration of retinal sequences from new video-ophthalmoscopic camera

Overview of attention for article published in BioMedical Engineering OnLine, May 2016
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Title
Registration of retinal sequences from new video-ophthalmoscopic camera
Published in
BioMedical Engineering OnLine, May 2016
DOI 10.1186/s12938-016-0191-0
Pubmed ID
Authors

Radim Kolar, Ralf. P. Tornow, Jan Odstrcilik, Ivana Liberdova

Abstract

Analysis of fast temporal changes on retinas has become an important part of diagnostic video-ophthalmology. It enables investigation of the hemodynamic processes in retinal tissue, e.g. blood-vessel diameter changes as a result of blood-pressure variation, spontaneous venous pulsation influenced by intracranial-intraocular pressure difference, blood-volume changes as a result of changes in light reflection from retinal tissue, and blood flow using laser speckle contrast imaging. For such applications, image registration of the recorded sequence must be performed. Here we use a new non-mydriatic video-ophthalmoscope for simple and fast acquisition of low SNR retinal sequences. We introduce a novel, two-step approach for fast image registration. The phase correlation in the first stage removes large eye movements. Lucas-Kanade tracking in the second stage removes small eye movements. We propose robust adaptive selection of the tracking points, which is the most important part of tracking-based approaches. We also describe a method for quantitative evaluation of the registration results, based on vascular tree intensity profiles. The achieved registration error evaluated on 23 sequences (5840 frames) is 0.78 ± 0.67 pixels inside the optic disc and 1.39 ± 0.63 pixels outside the optic disc. We compared the results with the commonly used approaches based on Lucas-Kanade tracking and scale-invariant feature transform, which achieved worse results. The proposed method can efficiently correct particular frames of retinal sequences for shift and rotation. The registration results for each frame (shift in X and Y direction and eye rotation) can also be used for eye-movement evaluation during single-spot fixation tasks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 3 9%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 8 24%
Readers by discipline Count As %
Engineering 8 24%
Medicine and Dentistry 6 18%
Computer Science 5 15%
Physics and Astronomy 2 6%
Nursing and Health Professions 2 6%
Other 2 6%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2016.
All research outputs
#18,463,662
of 22,877,793 outputs
Outputs from BioMedical Engineering OnLine
#565
of 823 outputs
Outputs of similar age
#250,143
of 333,304 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 6 outputs
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