Literature DB >> 21467182

Heartbeat-induced axial motion artifacts in optical coherence tomography measurements of the retina.

Roy de Kinkelder1, Jeroen Kalkman, Dirk J Faber, Olaf Schraa, Pauline H B Kok, Frank D Verbraak, Ton G van Leeuwen.   

Abstract

PURPOSE: To investigate the cause of axial eye motion artifacts that occur in optical coherence tomography (OCT) imaging of the retina. Understanding the cause of these motions can lead to improved OCT image quality and therefore better diagnoses.
METHODS: Twenty-seven measurements were performed on 5 subjects. Spectral domain OCT images at the macula were collected over periods up to 30 seconds. The axial shift of every average A-scan was calculated with respect to the previous average A-scan by calculating the cross-correlation. The frequency spectrum of the calculated shifts versus time was determined. The heart rate was determined from blood pressure measurements at the finger using an optical blood pressure detector. The fundamental frequency and higher order harmonics of the axial OCT shift were compared with the frequency spectrum of blood pressure data. In addition, simultaneous registration of the movement of the cornea and the retina was performed with a dual reference arm OCT setup, and movements of the head were also analyzed.
RESULTS: A correlation of 0.90 was found between the fundamental frequency in the axial OCT shift and the heart rate. Cornea and retina move simultaneously in the axial direction. The entire head moves with the same amplitude as the retina.
CONCLUSIONS: Axial motion artifacts during OCT volume scanning of the retina are caused by movements of the whole head induced by the heartbeat.

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Year:  2011        PMID: 21467182     DOI: 10.1167/iovs.10-6738

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  20 in total

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2.  Snapshot 3D optical coherence tomography system using image mapping spectrometry.

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3.  Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited].

Authors:  Hans R G W Verstraete; Morgan Heisler; Myeong Jin Ju; Daniel Wahl; Laurens Bliek; Jeroen Kalkman; Stefano Bonora; Yifan Jian; Michel Verhaegen; Marinko V Sarunic
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4.  In-vivo 3D corneal elasticity using air-coupled ultrasound optical coherence elastography.

Authors:  Zi Jin; Reza Khazaeinezhad; Jiang Zhu; Junxiao Yu; Yueqiao Qu; Youmin He; Yan Li; Tomas E Gomez Alvarez-Arenas; Fan Lu; Zhongping Chen
Journal:  Biomed Opt Express       Date:  2019-11-14       Impact factor: 3.732

5.  In vivo imaging of retinal hemodynamics with OCT angiography and Doppler OCT.

Authors:  Shenghai Huang; Meixiao Shen; Dexi Zhu; Qi Chen; Ce Shi; Zhongping Chen; Fan Lu
Journal:  Biomed Opt Express       Date:  2016-01-25       Impact factor: 3.732

6.  Retinal hyperaemia-related blood vessel artifacts are relevant to automated OCT layer segmentation.

Authors:  L J Balk; M Mayer; B M J Uitdehaag; A Petzold
Journal:  J Neurol       Date:  2014-01-05       Impact factor: 4.849

7.  Impact of motion-associated noise on intrinsic optical signal imaging in humans with optical coherence tomography.

Authors:  Michel M Teussink; Barry Cense; Mark J J P van Grinsven; B Jeroen Klevering; Carel B Hoyng; Thomas Theelen
Journal:  Biomed Opt Express       Date:  2015-04-09       Impact factor: 3.732

8.  In vivo microvascular network imaging of the human retina combined with an automatic three-dimensional segmentation method.

Authors:  Shenghai Huang; Zhonglie Piao; Jiang Zhu; Fan Lu; Zhongping Chen
Journal:  J Biomed Opt       Date:  2015-07       Impact factor: 3.170

9.  Motion artifact and background noise suppression on optical microangiography frames using a naïve Bayes mask.

Authors:  Roberto Reif; Utku Baran; Ruikang K Wang
Journal:  Appl Opt       Date:  2014-07-01       Impact factor: 1.980

Review 10.  Spatial resolution in CBCT machines for dental/maxillofacial applications-what do we know today?

Authors:  D Brüllmann; R K W Schulze
Journal:  Dentomaxillofac Radiol       Date:  2015       Impact factor: 2.419

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