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

Performance evaluation of grid-enabled registration algorithms using bronze-standards.

Tristan Glatard1, Xavier Pennec, Johan Montagnat

  • 1INRIA Sophia - Projet Asclepios, 2004 Route des Lucioles BP 93 06902 Sophia Antipolis Cedex, France. Xavier.Pennec@sophia.inria.fr

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

From topography to connectome: Towards an integrated understanding of the resting brain.

bioRxiv : the preprint server for biology·2026
Same author

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2026
Same author

Real-world implementation of clinical decision support systems in emergency departments: a scoping review protocol.

JBI evidence synthesis·2026
Same author

Urgent considerations for suicide prevention in the safe and ethical use of artificial intelligence.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2026
Same author

Assessment of noninvasive quantification of [<sup>18</sup>F]SynVesT-1 with simplified reference tissue model 2 in an adolescent and youth cohort.

European journal of nuclear medicine and molecular imaging·2026
Same author

Hierarchical Storage Management in User Space for Neuroimaging Applications.

Neuroinformatics·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 an efficient method for evaluating medical image registration algorithms using a bronze standard approach. The enhanced workflow achieved subvoxel accuracy for brain tumor MRI registration.

Area of Science:

  • Medical Imaging
  • Computational Biology
  • Computer Science

Background:

  • Evaluating medical image registration algorithms is challenging due to the absence of a gold standard in clinical settings.
  • The bronze standard offers a data-driven statistical method for registration assessment, but it is computationally intensive.

Purpose of the Study:

  • To develop and implement an efficient workflow for the bronze standard registration method.
  • To enable concurrent processing of numerous image registrations for faster evaluation.
  • To compare the performance of two distinct grid infrastructures for this task.

Main Methods:

  • Implementation of an efficient, grid-interfaced workflow enactor for the bronze standard.
  • Concurrent processing of hundreds of image registrations within hours.

Related Experiment Videos

  • Evaluation of four rigid registration algorithms using longitudinal MRI data of brain tumors.

    • Main Results:

    • Achieved an average accuracy of 0.4 mm for translation and 0.15 degrees for rotation.
    • Demonstrated subvoxel accuracy in the registration of brain tumor MRI scans.
    • Successfully processed hundreds of registrations efficiently using grid infrastructures.

    Conclusions:

    • The proposed efficient implementation significantly accelerates the bronze standard evaluation of registration algorithms.
    • The method provides a reliable and accurate assessment of registration performance on clinical data.
    • This approach facilitates more robust validation of medical image registration techniques.