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

3D image registration using a fast noniterative algorithm.

P Zhilkin1, M E Alexander

  • 1National Research Council Canada, Institute for Biodiagnostics, 435 Ellice Avenue, R3B 1Y6, Winnipeg, Manitoba, Canada. zhilkin@ibd.nrc.ca

Magnetic Resonance Imaging
|December 19, 2000
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

Rapid learning in a native predator shifts diet preferences towards invasive prey.

Biology letters·2022
Same author

Out of the pot and into the fire: Explaining the vulnerability of an endangered small headwater stream fish to black-bass Micropterus spp. invasion.

Journal of fish biology·2018
Same author

Modelling the effect of a booster vaccination on disease epidemiology.

Journal of mathematical biology·2005
Same author

Periodicity in an epidemic model with a generalized non-linear incidence.

Mathematical biosciences·2004
Same author

Minimally invasive cardioverter defibrillator implantation for children: an animal model and pediatric case report.

Pacing and clinical electrophysiology : PACE·2002
Same author

Supraventricular arrhythmias in children and young adults with implantable cardioverter defibrillators.

Journal of cardiovascular electrophysiology·2001
Same journal

Systematic comparison of MPRAGE and BRAVO T1-weighted MRI pulse sequences and brain morphometry in high-risk young adults.

Magnetic resonance imaging·2026
Same journal

Foot dynamic contrast-enhanced MRI for assessing microcirculatory changes after endovascular therapy in peripheral artery disease: A prospective pilot study.

Magnetic resonance imaging·2026
Same journal

Reconstruction of MRI from undersampled k-spaces of double-contrast volume acquisitions using deep neural networks.

Magnetic resonance imaging·2026
Same journal

Radiofrequency-induced heating safety of brain MRI scans at 7 T in the presence of a shoulder implant.

Magnetic resonance imaging·2026
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced respiratory motion compensation in free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
See all related articles

A new three-dimensional (3D) image registration algorithm enhances accuracy and robustness by solving integrated image matching equations over 3D patches. This method improves noise resistance and enables hierarchical registration across multiple spatial scales.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Image Processing

Background:

  • Existing 2D registration methods face limitations with 3D data.
  • Numerical instabilities and noise affect the accuracy of image registration algorithms.

Purpose of the Study:

  • To implement and evaluate a novel three-dimensional (3D) image registration algorithm.
  • To generalize a previous 2D registration technique to handle 3D image datasets.

Main Methods:

  • The algorithm integrates linearized image matching equations over 3D rectangular sub-volumes (patches).
  • It employs computationally efficient filters (O(N)) and a hierarchical approach using multiple spatial scales.
  • A 12-parameter affine model for displacement (u(x) = Ax + b) with linear interpolation was utilized.

Related Experiment Videos

Main Results:

  • The integrated approach enhances robustness to noise and avoids numerical instabilities.
  • Hierarchical registration across scales prevents false matches and refines parameter estimation.
  • The algorithm demonstrated accuracy and efficiency in registering multislice images from phantom and human volunteer scans.

Conclusions:

  • The developed 3D registration algorithm offers improved accuracy and noise robustness compared to previous methods.
  • Its hierarchical, multi-scale approach is effective for complex registration tasks.
  • The algorithm is adaptable to more general displacement models and suitable for parallel processing.