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

Affine registration: a comparison of several programs.

Peter Zhilkin1, Murray E Alexander

  • 1Institute for Biodiagnostics, National Research Council Canada, Manitoba, Canada.

Magnetic Resonance Imaging
|February 20, 2004
PubMed
Summary

This study compares medical image registration programs, finding most offer similar accuracy but vary greatly in speed. The AIR and Patch Algorithm are fastest, with the Patch Algorithm being parallelizable.

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

4D MR phase and magnitude segmentations with GPU parallel computing.

Magnetic resonance imaging·2014
Same author

Effects of vaccination and population structure on influenza epidemic spread in the presence of two circulating strains.

BMC public health·2011
Same author

A comparative evaluation of modelling strategies for the effect of treatment and host interactions on the spread of drug resistance.

Journal of theoretical biology·2009
Same author

A delay differential model for pandemic influenza with antiviral treatment.

Bulletin of mathematical biology·2007
Same author

Emergence of drug resistance: implications for antiviral control of pandemic influenza.

Proceedings. Biological sciences·2007
Same author

Bifurcations of an epidemic model with non-linear incidence and infection-dependent removal rate.

Mathematical medicine and biology : a journal of the IMA·2006

Area of Science:

  • Medical Imaging
  • Image Registration
  • Computational Anatomy

Background:

  • Accurate medical image registration is crucial for analyzing anatomical changes.
  • Several algorithms exist for affine registration, but performance comparisons are needed.

Purpose of the Study:

  • To conduct a fair comparison of the Patch Algorithm against other leading registration programs.
  • To evaluate registration accuracy and computational time for various 2D and 3D MRI datasets.

Main Methods:

  • Tested six registration programs: AIR 3.0, COCGV, FLIRT, Intramodal Registration, SPM, and Patch Algorithm.
  • Utilized 2D and 3D MRI datasets of the same modality for intramodal registration.
  • Evaluated registered image accuracy, CPU time, and registration errors.

Related Experiment Videos

Main Results:

  • Most tested programs achieved comparable registration accuracies.
  • Significant variations in execution times were observed among the programs.
  • AIR 3.0 and the Patch Algorithm demonstrated the shortest CPU times.

Conclusions:

  • The Patch Algorithm offers competitive registration accuracy with high efficiency.
  • The Patch Algorithm's parallelizability makes it suitable for high-performance computing environments.
  • Choosing a registration program involves balancing accuracy and computational cost.