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 Experiment Videos

Retina mosaicing using local features.

Philippe C Cattin1, Herbert Bay, Luc Van Gool

  • 1Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland. cattin@vision.ee.ethz.ch

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|March 16, 2007
PubMed
Summary
This summary is machine-generated.

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

Virtual Treatment for radiotherapy: Multimodal generative prediction of longitudinal NSCLC tumor progression.

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

Cold induced pain elicits reproducible breath metabolomic responses across geographically distinct populations.

iScience·2026
Same author

Erratum: Ultrasound-driven 4D MRI (2018<i>Phys. Med. Biol</i>.<b>63</b>145015).

Physics in medicine and biology·2026
Same author

Learning From Each Other: Generalized Federated Incremental Semantic Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Influence of laser beam intensity profile on deep bone ablation in laser osteotomy.

Scientific reports·2026
Same author

Soft Tissue Simulation and Force Estimation From Heterogeneous Structures Using Equivariant Graph Neural Networks.

Healthcare technology letters·2025
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study introduces a novel retina mosaicing technique for automated laser photocoagulation systems. The new method enhances image fusion, even without visible blood vessels, improving treatment accuracy.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Laser photocoagulation is effective for retinal pathologies but faces challenges like motion and dosage control.
  • Current success rates are limited by technical difficulties in laser application.
  • Automated systems promise to overcome these limitations.

Purpose of the Study:

  • To present a novel retina mosaicing approach for automated laser photocoagulation systems.
  • To improve the accuracy and reliability of retinal image fusion.
  • To address limitations of existing methods, particularly in images lacking clear vascularity.

Main Methods:

  • Utilized recent advancements in region detection and feature description for image fusion.
  • Developed a new retina mosaicing technique.

Related Experiment Videos

  • Implemented an efficient scheme for determining blending masks for multi-band blending of overlapping images.

    • Main Results:

    • The proposed method enables automatic fusion of retina images.
    • Successfully demonstrated functionality even for images lacking discernible vascularity.
    • An efficient multi-band blending scheme was developed.

    Conclusions:

    • The novel retina mosaicing approach is a key component for advanced automated laser photocoagulation systems.
    • This technique overcomes limitations of current methods, broadening applicability.
    • It contributes to improving the overall success rate of laser treatments for retinal diseases.