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

You might also read

Related Articles

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

Sort by
Same author

LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid-$β$ progression.

ArXiv·2026
Same author

LNODE: Uncovering the Latent Dynamics of <math><mi>A</mi> <mi>β</mi></math> in Alzheimer's Disease.

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

A boundary integral method for simulating the dynamics of inextensible vesicles suspended in a viscous fluid in 2D.

Journal of computational physics·2025
Same author

Aligning personalized biomarker trajectories onto a common time axis: a connectome-based ODE model for Tau-Amyloid beta dynamics.

Medical image analysis·2025
Same author

Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models.

International journal for numerical methods in biomedical engineering·2025
Same author

A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer's disease.

Brain informatics·2025
Same journal

Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps.

International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing)·2024
Same journal

Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts.

International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing)·2023
See all related articles

Related Experiment Video

Updated: Sep 30, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.4K

Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems.

Malte Brunn1, Naveen Himthani2, George Biros2

  • 1Computer Science, University of Stuttgart, Stuttgart, DE.

International Conference for High Performance Computing, Networking, Storage and Analysis : [Proceedings]. SC (Conference : Supercomputing)
|March 17, 2022
PubMed
Summary
This summary is machine-generated.

We developed a faster Gauss-Newton-Krylov solver for large deformation diffeomorphic image registration using multi-GPU systems. This advanced solver significantly accelerates medical image analysis and large-scale computational tasks.

Keywords:
Gauss–Newton–Krylov solverPDE-constrained optimizationdiffeomorphic image registrationmulti-node multi-GPUpreconditioning

More Related Videos

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

702
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.4K

Related Experiment Videos

Last Updated: Sep 30, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.4K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

702
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.4K

Area of Science:

  • Medical image analysis
  • Computational science
  • Scientific computing

Background:

  • Large deformation diffeomorphic image registration is crucial for medical image analysis.
  • Existing methods face computational challenges with high-resolution images.

Purpose of the Study:

  • To develop a high-performance solver for large deformation diffeomorphic image registration.
  • To optimize the solver for multi-node, multi-GPU systems.

Main Methods:

  • Extended the CLAIRE library for multi-node, multi-GPU systems.
  • Introduced a novel preconditioner for the Gauss-Newton Hessian system.
  • Implemented optimized computational kernels using device direct communication.

Main Results:

  • Achieved a 70% performance speedup compared to state-of-the-art methods.
  • Solved a 256^3 resolution image registration problem in five seconds on a single GPU.
  • Successfully registered 2048^3 resolution images on a large-scale GPU cluster.

Conclusions:

  • The developed Gauss-Newton-Krylov solver offers significant performance improvements for large deformation image registration.
  • The multi-GPU implementation enables registration of unprecedentedly large image datasets.
  • This work advances the capabilities of medical image analysis and scientific computing.