Visualization of Fundus Vessel Pulsation Using Principal Component Analysis

Moret, Fabrice; Poloschek, Charlotte M.; Lagrèze, Wolf A.; Bach, Michael

doi:10.1167/iovs.10-6806

Cited by 33 publications

(34 citation statements)

References 49 publications

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“…In our previous study, 32 we described pulsations in nine of these subjects (S1-S8 and S11). All subjects were screened for IOP (11)(12)(13)(14)(15)(16)(17)(18)(19), had normal ocular findings on slit lamp, scanning laser ophthalmoscope (SLO), and optical coherence tomography (OCT) examinations, and had a decimal visual acuity greater than or equal to 1.0 in the examined eye.…”

Section: Methods Subjectsmentioning

confidence: 96%

“…The PCA-filtered sequences allow to distinguish quite minute pulsations. 32 The most important are the SVP and the serpentine movement of the arteries. The serpentine movement is a lateral shift of the vessel, usually visible at bends.…”

Section: Pca Filtering and Pulsation Mapsmentioning

confidence: 99%

“…Waveform analysis of this movement suggested that it could serve as a marker of the arterial pressure waveform. 32 To prepare for the next step, each movie and the principal components were scrutinized and lateral pulsations (red lines bordering arteries on the systolic movement side) and SVPs (blue arrows) or lack thereof where indicated on a map (Fig. 2).…”

Section: Pca Filtering and Pulsation Mapsmentioning

confidence: 99%

“…41 Imaging 29,41 and, later, heartbeat-synchronized imaging 28 provided more objective and quantitative observations, but still relied on remote references such as electrocardiogram or peripheral pulse oxymetry for synchronization. The present method retrieves simultaneously (1) a local systolic time reference from the arterial pulsation 32 when available, and (2) vein metrics, via the same technique and from the same image sequence. Our measurements yield continuous, quantitative, and objective values without visual classification.…”

Section: Advantages Of the Present Approachmentioning

confidence: 99%

“…We re-examine here the collapse timing quantitatively, using a newly developed method 32 allowing visualization of arterial and venous pulsations on fundus image sequences. The advantage of this technique is to yield both objective ocular systole markers and collapse times from the same images.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Analysis of Fundus-Image Sequences Reveals Phase of Spontaneous Venous Pulsations

Moret

Reiff

Lagrèze

et al. 2015

Trans. Vis. Sci. Tech.

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Purpose: Spontaneous venous pulsation correlates negatively with elevated intracranial pressure and papilledema, and it relates to glaucoma. Yet, its etiology remains unclear. A key element to elucidate its underlying mechanism is the time at which collapse occurs with respect to the heart cycle, but previous reports are contradictory. We assessed this question in healthy subjects using quantitative measurements of both vein diameters and artery lateral displacements; the latter being used as the marker of the ocular systole time.Methods: We recorded 5-second fundus sequences with a near-infrared scanning laser ophthalmoscope in 12 young healthy subjects. The image sequences were coregistered, cleaned from microsaccades, and filtered via a principal component analysis to remove nonpulsatile dynamic features. Time courses of arterial lateral displacement and of diameter at sites of spontaneous venous pulsation or proximal to the disk were retrieved from those image sequences and compared.Results: Four subjects displayed both arterial and venous pulsatile waveforms. On those, we observed venous diameter waveforms differing markedly among the subjects, ranging from a waveform matching the typical intraocular pressure waveform to a close replica of the arterial waveform. Conclusions:The heterogeneity in waveforms and arteriovenous phases suggests that the mechanism governing the venous outflow resistance differs among healthy subjects.Translational relevance: Further characterizations are necessary to understand the heterogeneous mechanisms governing the venous outflow resistance as this resistance is altered in glaucoma and is instrumental when monitoring intracranial hypertension based on fundus observations.

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Section: Methods Subjectsmentioning

confidence: 96%

Section: Pca Filtering and Pulsation Mapsmentioning

confidence: 99%

Section: Pca Filtering and Pulsation Mapsmentioning

confidence: 99%

Section: Advantages Of the Present Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Analysis of Fundus-Image Sequences Reveals Phase of Spontaneous Venous Pulsations

Moret

Reiff

Lagrèze

et al. 2015

Trans. Vis. Sci. Tech.

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Morphometric Measurements of The Retinal Vasculature in Fundus Images with Vampire

Trucco

Giachetti

Ballerini

et al. 2015

Biomedical Image Understanding

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Much research is being directed toward investigating links between quantitative characteristics of the retinal vasculature and a variety of outcomes to identify biomarkers. The interest for retinal biomarkers lies in the fact that the retina is easily observed via fundus photography. Outcomes considered for research of biomarkers in the literature include conditions such as diabetes and lacunar stroke, and also cognitive performance and genetic expression [1][2][3][4][5]. The need for measuring large volumes of images, needed to power biomarker discovery studies, makes semiautomatic software systems desirable. This chapter reports recent algorithms developed by the VAMPIRE group for vasculature detection and quantification, including recent developments on landmark detection. We focus on accuracy and validation issues, and, importantly, the conditions for comparing meaningful results from different algorithms. This work is a part of VAMPIRE (Vasculature Assessment and Measurement Platform for Images of the REtina), which is an international collaboration growing a software suite for automatic morphometric measurements of the retinal vasculature.

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Heart‐beat‐phase‐coherent Doppler optical coherence tomography for measuring pulsatile ocular blood flow

Schmoll

Leitgeb

2012

Journal of Biophotonics

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We introduce a Doppler OCT (DOCT) platform that is fully synchronized with the heart-beat via a pulse oximeter. The system allows reconstructing heart-beat-phase-coherent quantitative DOCT volumes. The method is to acquire a series of DOCT volumes and to record the pulse in parallel. The heartbeat data is used for triggering the start of each DOCT volume acquisition. The recorded volume series is registered to the level of capillaries using a cross-volume registration. The information of the pulse phase is used to rearrange the tomograms in time, to obtain a series of phase coherent DOCT volumes over a pulse. We present Doppler angle independent quantitative evaluation of the absolute pulsatile blood flow within individual retinal vessels as well as of the total retinal blood flow over a full heartbeat cycle.

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Visualization of Fundus Vessel Pulsation Using Principal Component Analysis

Abstract: By disentangling pulsatile motion from other dynamic components of retinal images, unprecedented resolution in physiologic motion of retinal vessel structure is achievable.

Cited by 33 publications

References 49 publications

Quantitative Analysis of Fundus-Image Sequences Reveals Phase of Spontaneous Venous Pulsations

Quantitative Analysis of Fundus-Image Sequences Reveals Phase of Spontaneous Venous Pulsations

Morphometric Measurements of The Retinal Vasculature in Fundus Images with Vampire

Heart‐beat‐phase‐coherent Doppler optical coherence tomography for measuring pulsatile ocular blood flow

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