Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

9.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deferoxamine Modulates Corneal Endothelial Cell Biological Properties Associated with Increased VEGF Expression.

Medicina (Kaunas, Lithuania)·2026
Same author

A Comparative Evaluation of Large Language Models on Pediatric Board-Style Examinations.

Hospital pediatrics·2026
Same author

Mechanisms of Gas-Induced Posterior Vitreous Detachment: A Look Behind the Bubble Using Optical Coherence Tomography in Prone Position.

Journal of clinical medicine·2026
Same author

Quantifying segmentation sensitivity in OCTA: Device-specific profiles across three commercial platforms.

PloS one·2026
Same author

Comparison of ChatGPT-4o and DeepSeek R1 in the Management of Ophthalmological Emergencies-An Analysis of Ten Fictional Case Vignettes.

Journal of clinical medicine·2025
Same author

High-Dose 8 mg Aflibercept for Neovascular Age-Related Macular Degeneration: Who Is Being Treated with This New Agent?

Life (Basel, Switzerland)·2025

Related Experiment Video

Updated: Mar 15, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
10:46

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

19.3K

Quantitative Comparison of Two Novel Swept-Source Optical Coherence Tomography Angiography Devices.

Michael Hafner1, Daniel J P Deschler1, Alexander Kufner1

  • 1Department of Ophthalmology, LMU University Hospital, Ludwig-Maximilians-Universität München, Mathildenstraße 8, 80336 Munich, Germany.

Diagnostics (Basel, Switzerland)
|March 14, 2026
PubMed
Summary

This study compared two swept-source optical coherence tomography angiography (SS-OCTA) systems, DREAM and BMizar, finding DREAM offers higher image quality and more reliable retinal microvasculature quantification despite longer acquisition times. BMizar is faster but introduces noise, affecting accuracy.

Keywords:
device comparisonen face imagingmicrovascular metricsquantitative OCT angiographyretinal capillary plexusesswept-source OCTA

More Related Videos

Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography
07:18

Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography

Published on: February 18, 2022

2.2K
Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

8.8K

Related Experiment Videos

Last Updated: Mar 15, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
10:46

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

19.3K
Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography
07:18

Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography

Published on: February 18, 2022

2.2K
Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

8.8K

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Swept-source optical coherence tomography angiography (SS-OCTA) is crucial for retinal microvasculature assessment.
  • Cross-platform comparability of SS-OCTA is limited by device-specific image acquisition and quality.
  • Novel SS-OCTA systems require prospective comparison for clinical validation.

Purpose of the Study:

  • To prospectively compare the performance of two novel SS-OCTA systems, DREAM (200 kHz) and BMizar (400 kHz).
  • To evaluate image quality and quantitative metrics derived from macular SS-OCTA imaging.
  • To determine cross-platform comparability and identify device-specific strengths and limitations.

Main Methods:

  • Fifty eyes from 25 healthy participants underwent 3 mm × 3 mm macular SS-OCTA imaging with both DREAM and BMizar systems.
  • Image analysis included extraction of foveal avascular zone (FAZ) area, vessel area density (VAD), and other microvascular parameters using OCTAVA.
  • Image quality was assessed via FAZ-noise rate, contrast-to-noise ratio (CNR), and FAZ noise-floor standard deviation.

Main Results:

  • BMizar demonstrated shorter acquisition times (5.36 s) compared to DREAM (9.93 s).
  • DREAM exhibited significantly lower background noise (noise-floor SD 4.1 vs. 57.9) and higher CNR (16.7 vs. 0.82) than BMizar.
  • DREAM provided more reliable quantification of FAZ area and deep capillary plexus (DCP) metrics, while BMizar's faster acquisition introduced noise affecting superficial capillary plexus (SCP) density and FAZ metrics.

Conclusions:

  • Both SS-OCTA systems provide reliable imaging, but with distinct characteristics.
  • DREAM excels in vascular continuity and accurate quantification of FAZ and DCP, crucial for research and clinical applications.
  • BMizar offers faster acquisition but at the expense of increased noise, potentially compromising the accuracy of OCTA biomarkers.