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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

572
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
572
Computed Tomography01:10

Computed Tomography

9.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.3K

You might also read

Related Articles

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

Sort by
Same author

Dose-Dependent LET Constraints and Constraint Resolution for Interpreting Proton Therapy Toxicity.

International journal of radiation oncology, biology, physics·2026
Same author

Experimentally determined proton discrete spot scanning time structures for an improved synchrotron-based PBS spot delivery time model.

Medical physics·2026
Same author

Durvalumab After Chemoradiotherapy for Locally Advanced NSCLC: A Real-World Analysis Using a Nationwide Claims Database in Japan.

Clinical lung cancer·2026
Same author

Radiation-Based Multimodal Strategies for Esophageal Squamous Cell Carcinoma: From Definitive Chemoradiotherapy to Salvage Treatment.

Cancers·2026
Same author

Impact of x-ray contamination in the dose monitor on beam abortion during uninterrupted continuous delivery in proton therapy.

Physics in medicine and biology·2026
Same author

For ultra-high dose rate carbon-ion irradiation, comparable beam parameters induce the equivalent cell sparing (FLASH) effect.

Journal of radiation research·2026

Related Experiment Video

Updated: Mar 17, 2026

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

1.8K

Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic

Noriyuki Kadoya1, Yujiro Nakajima1, Masahide Saito1

  • 1Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.

International Journal of Radiation Oncology, Biology, Physics
|August 1, 2016
PubMed
Summary

Commercial deformable image registration (DIR) software accuracy varies across institutions for thoracic 4D-CT scans. Both the DIR software and the specific procedure influence overall accuracy, impacting clinical trial and care applications.

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

1.1K
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

11.1K

Related Experiment Videos

Last Updated: Mar 17, 2026

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

1.8K
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

1.1K
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

11.1K

Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Deformable image registration (DIR) is crucial for analyzing changes in thoracic anatomy over time, particularly in 4D CT scans.
  • Accurate DIR is essential for applications like radiotherapy planning and monitoring treatment response in lung and esophageal cancers.

Purpose of the Study:

  • To evaluate the accuracy of commercially available deformable image registration (DIR) software across multiple institutions using thoracic 4D CT images.
  • To identify factors contributing to variations in DIR accuracy in a multi-center setting.

Main Methods:

  • Utilized 4D CT datasets from 10 patients with thoracic cancers, provided with manually identified bronchial bifurcation landmarks.
  • Performed deformable image registration between inhale and exhale phases of the CT scans.
  • Calculated DIR error by comparing software-calculated landmark displacement with manually determined displacements.

Main Results:

  • Eleven institutions participated, using three different DIR software packages: RayStation, MIM Software, and Velocity.
  • Average 3D registration errors varied by software: RayStation (3.28 mm), MIM Software (3.29 mm), and Velocity (5.01 mm).
  • Significant variation in accuracy was observed among institutions, even when using the same DIR software, indicating procedural influence.

Conclusions:

  • Commercial DIR software accuracy for thoracic 4D CT is institution-dependent, influenced by both the software and the registration procedure.
  • Findings highlight the need for standardized DIR protocols to ensure reliable results in clinical trials and patient care.
  • Optimizing DIR procedures using thoracic 4D CT data is recommended for improved clinical application and widespread adoption of DIR technology.