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

Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video.

Proceedings of machine learning research·2026

Same author

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same author

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same author

Erratum: "Tract-specific white matter microstructure associated with early cognitive development in infants" [Neuroimage Rep 6 (2026) 100336].

Neuroimage. Reports·2026

Same author

Perseus: perception with semantic endoscopic understanding and SLAM.

International journal of computer assisted radiology and surgery·2026

Same author

Long-term effects of preterm birth on cortical folding trajectories in early childhood.

Brain communications·2026

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

Search research articles

Related Experiment Video

Updated: May 3, 2026

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

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

Published on: April 12, 2024

Particle-guided image registration.

Joohwi Lee¹, Ilwoo Lyu¹, Ipek Oğuz²

¹Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|February 8, 2014

Summary

This summary is machine-generated.

This study introduces a new B-spline free-form deformation method for image registration, optimizing particle correspondence and image similarity. This novel approach improves rodent brain structure segmentation accuracy compared to existing methods.

More Related Videos

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

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

Published on: October 27, 2023

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

Related Experiment Videos

Last Updated: May 3, 2026

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

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

Published on: April 12, 2024

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

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

Published on: October 27, 2023

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

Area of Science:

Medical Imaging
Computational Biology
Image Analysis

Background:

Image registration is crucial for comparing and analyzing medical images.
Existing B-spline methods often focus on control points, limiting deformation estimation.
A need exists for more accurate and robust image registration techniques, especially for group-wise analysis.

Purpose of the Study:

To develop a novel image registration method using B-spline free-form deformation.
To simultaneously optimize particle correspondence and image similarity metrics.
To enhance accuracy in applications like rodent brain structure segmentation.

Main Methods:

Utilizing B-spline free-form deformation for image registration.
Estimating deformation from dense, unstructured corresponding particles, not just control points.
Implementing an iterative optimization process matching intensity values at corresponding locations.
Extending the method to group-wise registration by averaging particles.
Minimizing an entropy-based group-wise correspondence metric and maximizing particle space sampling.

Main Results:

The proposed method achieves improved accuracy in rodent brain structure segmentation for two specific structures.
Demonstrated superior performance compared to other existing registration methods in the application.
Successfully extended a surface-based group-wise particle correspondence method to the image domain.

Conclusions:

The novel B-spline based registration method offers enhanced accuracy for neuroimaging applications.
Simultaneous optimization of particle correspondence and image similarity provides robust registration.
The group-wise extension enables more comprehensive analysis of multiple image datasets.