Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU137850" target="_blank" >RIV/00216305:26220/21:PU137850 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15110/21:73608597
Result on the web
<a href="https://ieeexplore.ieee.org/document/9269462" target="_blank" >https://ieeexplore.ieee.org/document/9269462</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TMI.2020.3039917" target="_blank" >10.1109/TMI.2020.3039917</a>
Alternative languages
Result language
angličtina
Original language name
Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings
Original language description
Dynamic optical imaging of retinal hemodynamics is a rapidly evolving technique in vision and eye-disease research. Video-recording, which may be readily accessible and affordable, captures several distinct functional phenomena such as the spontaneous venous pulsations (SVP) of central vein or local arterial blood supply etc. These phenomena display specific dynamic patterns that have been detected using manual or semi-automated methods. We propose a pioneering concept in retina video-imaging using blind source separation (BSS) serving as an automated localizer of distinct areas with temporally synchronized hemodynamics. The feasibility of BSS techniques (such as spatial principal component analysis and spatial independent component analysis) and K-means based post-processing method were successfully tested on the monocular and binocular video-ophthalmoscopic (VO) recordings of optic nerve head (ONH) in healthy subjects. BSSs automatically detected three spatially distinct reproducible areas, i.e. SVP, optic cup pulsations (OCP) that included areas of larger vessels in the nasal part of ONH, and “other” pulsations (OP). The K-means post-processing reduced a spike noise from the patterns’ dynamics while high linear dependence between the non-filtered and post-processed signals was preserved. Although the dynamics of all patterns were heart rate related, the morphology analysis demonstrated significant phase shifts between SVP and OCP, and between SVP and OP. In addition, we detected low frequency oscillations that may represent respiratory-induced effects in time-courses of the VO recordings.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/NV17-29452A" target="_blank" >NV17-29452A: Sensorimotor network modulation by targeted therapy of post-stroke spasticity</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON MEDICAL IMAGING
ISSN
0278-0062
e-ISSN
1558-254X
Volume of the periodical
40
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
852-864
UT code for WoS article
000626332400007
EID of the result in the Scopus database
2-s2.0-85097155759