Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

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

Sort by

Same author

Plain language summary of publication of the 96-week results from the PHOTON study: intravitreal aflibercept 8 mg for diabetic macular edema.

Therapeutic advances in ophthalmology·2026

Same author

Effect of key baseline disease characteristics on aflibercept 8 mg dosing interval extension: A post hoc 96-week analysis of PULSAR.

Ophthalmology. Retina·2026

Same author

Lynch Syndrome: An Update of Underlying Molecular Mechanisms, Phenotypes and Methods to Classify Variants of Uncertain Significance.

Biomedicines·2026

Same author

Intravitreal aflibercept 8 mg in patients with neovascular age-related macular degeneration from China: 48-week results from the PULSAR trial.

International journal of retina and vitreous·2026

Same author

Variables associated with unhealthy diet among Portuguese adults: a population-based logistic regression study.

Frontiers in nutrition·2026

Same author

Intraocular Pressure Outcomes with Intravitreal Aflibercept 8 mg: A 96-Week Pooled Analysis from PULSAR and PHOTON.

Ophthalmology and therapy·2026

Same journal

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 2, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

Ocular fundus reference images from optical coherence tomography.

Pedro Guimarães¹, Pedro Rodrigues², Conceição Lobo³

¹IBILI - Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, 3000-548 Coimbra, Portugal.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|March 18, 2014

Summary

This summary is machine-generated.

This study introduces a novel method to create detailed optical coherence tomography (OCT) fundus reference images. The improved technique enhances retinal vasculature visualization for better eye condition analysis.

Keywords:

Fundus images Ocular fundus Optical coherence tomography Retina Vascular network

More Related Videos

Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Related Experiment Videos

Last Updated: May 2, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

Ophthalmology
Medical Imaging
Biomedical Engineering

Background:

Two-dimensional images from 3D optical coherence tomography (OCT) data enable precise retinal scan positioning within the ocular fundus.
Traditional OCT fundus reference images have limitations in retinal vasculature extension and contrast.

Purpose of the Study:

To develop an improved OCT fundus reference image with enhanced retinal vasculature.
To improve the visualization of retinal structures from OCT data.

Main Methods:

Computed three independent images from OCT volumetric data, utilizing hemoglobin shadows on retinal outer layers.
Combined these independent images into a fourth, superior reference image.
Compared the vascular network extension with established fundus imaging modalities like color fundus photography.

Main Results:

The novel combined OCT fundus reference image outperformed individual component images quantitatively and qualitatively.
The method achieved vascular network extension comparable to color fundus photography.
Retina specialists validated the superior performance of the proposed image.

Conclusions:

The proposed method provides a detailed fundus reference image from OCT data.
This technique is a valuable starting point for retinal vascular tree segmentation.
Offers improved visualization for diagnosing and monitoring retinal diseases.