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

You might also read

Related Articles

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

Sort by

Same author

On-line amino acid-based capillary isoelectric focusing-ESI-MS/MS for protein digests analysis.

Analytica chimica acta·2012

Same author

Tensile strain switched ferromagnetism in layered NbS2 and NbSe2.

ACS nano·2012

Same author

Synthesis of near-infrared-emitting CdTeSe and CdZnTeSe quantum dots.

Luminescence : the journal of biological and chemical luminescence·2012

Same author

Renal tolerability of iopromide and iodixanol in 562 renally impaired patients undergoing cardiac catheterisation: the DIRECT study.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology·2012

Same author

Removal of FePO4 and Fe3(PO4)2 crystals on the surface of passive fillers in Fe0/GAC reactor using the acclimated bacteria.

Journal of hazardous materials·2012

Same author

Decorating PtCo bimetallic alloy nanoparticles on graphene as sensors for glucose detection by catalyzing luminol chemiluminescence.

Small (Weinheim an der Bergstrasse, Germany)·2012

Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 27, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

[A segmentation algorithm of OCT image for macula edema].

Ping Yang¹, Qing Peng, Weiping Lin

¹Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China. yangping614@yahoo.com.cn

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|November 22, 2011

Summary

This summary is machine-generated.

This study presents an improved level-set algorithm for segmenting macular edema in OCT images, offering faster and more accurate results for clinical diagnosis and therapy.

More Related Videos

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

Published on: May 26, 2023

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Related Experiment Videos

Last Updated: May 27, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

Published on: May 26, 2023

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Area of Science:

Ophthalmology
Medical Imaging
Computer Vision

Context:

Macular edema diagnosis relies on accurate segmentation of retinal layers in Optical Coherence Tomography (OCT) images.
Existing segmentation methods can be computationally intensive and lack efficiency.
Quantitative analysis of macular edema volume is crucial for effective patient management.

Purpose:

To develop and evaluate an improved level-set algorithm for efficient and accurate macular edema segmentation in OCT images.
To enhance the speed of segmentation compared to traditional Chan-Vese models.
To provide a reliable tool for estimating macular edema volume for clinical applications.

Summary:

An improved level-set algorithm was developed based on the Chan-Vese model for macular edema segmentation.
The algorithm directly defines an integer-valued signed function, enabling faster evolution than standard methods.
Segmentation of 45 OCT images was performed, followed by macular edema volume estimation, demonstrating good results.

Impact:

The proposed method significantly accelerates the segmentation process for macular edema.
It offers a quantitative tool for improved clinical diagnosis and therapeutic monitoring of macular edema.
This advancement aids in the objective assessment of disease severity and treatment response.