Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings

Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings

Článek WoS

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.

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.

Blind Source Separation; ICA; Independent Component Analysis; Optic Nerve Head; PCA; Principal Component Analysis; Retina; Video-ophthalmoscopy; Spontaneous Venous Pulsations

Blind Source Separation; ICA; Independent Component Analysis; Optic Nerve Head; PCA; Principal Component Analysis; Retina; Video-ophthalmoscopy; Spontaneous Venous Pulsations

LABOUNKOVÁ, I.; LABOUNEK, R.; NESTRAŠIL, I.; ODSTRČILÍK, J.; TORNOW, R.; KOLÁŘ, R.

2021

01.03.2021

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, USA, NJ, 08855-4141

USA

0278-0062

IEEE TRANSACTIONS ON MEDICAL IMAGING

40

3

Spojené státy americké

852

864

13

https://ieeexplore.ieee.org/document/9269462