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

Real-time motion tracking of a gold implant in water by Cherenkov lights.

Journal of applied clinical medical physics·2026
Same author

Simultaneous LC-MS/MS screening of 222 drugs of abuse in eight solid food matrices using a unified QuEChERS-Based approach.

Regulatory toxicology and pharmacology : RTP·2026
Same author

Liquid-liquid extraction coupled with LC-MS/MS for multi-residue screening of 223 drugs of abuse in high-sugar confectionery products.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2026
Same author

Matrix-dependent analytical strategies for the detection of drug-infused foods: A comprehensive review.

Forensic science international·2026
Same author

Gamma Knife Stereotactic Radiosurgery With a Reduced Peripheral Dose: Outcomes in Uveal Melanoma Patients.

Advances in radiation oncology·2026
Same author

Selection of Radiological Physics and Technology Awards 2025.

Radiological physics and technology·2026

Related Experiment Video

Updated: Jun 26, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Image registration accuracy of GammaPlan: a phantom study.

Yoichi Watanabe1, Eunyoung Han

  • 1Department of Therapeutic Radiology, University of Minnesota, Minneapolis, Minnesota 55455, USA. watan016@umn.edu

Journal of Neurosurgery
|January 7, 2009
PubMed
Summary

The Leksell GammaPlan software accurately co-registers images from the same modality. CT-MR image registration accuracy depends on phantom fill, but a two-step process improves results for air-filled phantoms.

More Related Videos

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Related Experiment Videos

Last Updated: Jun 26, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Area of Science:

  • Medical Imaging
  • Radiotherapy Physics

Background:

  • Accurate image co-registration is crucial for stereotactic radiosurgery planning.
  • Leksell GammaPlan software incorporates automatic image co-registration functions.

Purpose of the Study:

  • To evaluate the accuracy of the automatic image co-registration function in Leksell GammaPlan software.
  • To assess the performance of the software with different imaging modalities (CT and MR) and phantom configurations.

Main Methods:

  • A phantom with 9 landmarks was used for accuracy assessment.
  • Image registration was performed for CT-CT, MR-MR, and CT-MR image sets.
  • Accuracy was measured by the distance between corresponding landmarks after co-registration.

Main Results:

  • CT-CT and MR-MR registrations achieved accuracy within the voxel size.
  • Initial CT-MR registration with an air-filled phantom was poor (13.8 mm).
  • A two-step process (landmark-based followed by automatic registration) improved CT-MR accuracy to 0.74 mm.
  • CT-MR registration with a water-filled phantom was acceptable (1.18 mm).

Conclusions:

  • Automatic co-registration accuracy is high for same-modality images.
  • CT-MR registration accuracy is influenced by phantom fill (air vs. water).
  • Mutual information-based algorithms are sensitive to the amount of common data available.