All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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