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 for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

You might also read

Related Articles

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

Sort by
Same author

Association of "Emptying Emphysema" with Clinical and Radiographic Features in People with Smoking History.

Annals of the American Thoracic Society·2026
Same author

Association Between Chronic PM2.5 Exposure and CT-Detected Lung Abnormalities in the SPIROMICS Cohort.

Annals of the American Thoracic Society·2026
Same author

Detecting Airway Invasion in Variable-Length Videofluoroscopic Swallowing Studies: A Vision Transformer Approach for Oropharyngeal Dysphagia.

Diagnostics (Basel, Switzerland)·2025
Same author

Reply to Zhou et al. refining the utility of fSADTLC: toward generalizability, cost-effectiveness, and longitudinal insight.

American journal of respiratory and critical care medicine·2025
Same author

Response.

Chest·2025
Same author

A Review of Advances in Lung Function Imaging and Its Applications for Functional Lung Avoidance in Radiation Therapy.

Seminars in nuclear medicine·2025
Same journal

Deep Learning for Brain Tumour Analysis: A Systematic Review of CNN-Transformer Hybrids in Multimodal Imaging.

International journal of biomedical imaging·2026
Same journal

Brain Tumor Segmentation Using U-Net With ResNet50 Encoder for Enhanced MRI Analysis.

International journal of biomedical imaging·2026
Same journal

Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations.

International journal of biomedical imaging·2026
Same journal

Enhancing the Generalizability of Deep Learning-Based Models for Lung Field Segmentation in Chest Radiographs Using Edge-Assisted Multiscale Feature Fusion.

International journal of biomedical imaging·2026
Same journal

Personalized PET Imaging in Gastric Cancer: An Umbrella Review of Meta-Analyses to Guide Radiopharmaceutical Selection and Clinical Indication.

International journal of biomedical imaging·2026
Same journal

Clinician-Centric Explainable Artificial Intelligence Framework for Medical Imaging Diagnostics: A Systematic Review.

International journal of biomedical imaging·2026
See all related articles

Related Experiment Video

Updated: May 15, 2026

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

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information.

Kunlin Cao1, Kai Ding, Joseph M Reinhardt

  • 1Biomedical Image Analysis Lab, GE Global Research Center, Niskayuna, NY 12309, USA.

International Journal of Biomedical Imaging
|December 20, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel nonrigid registration algorithm for lung CT images, significantly improving accuracy in tracking lung motion. The new vesselness similarity cost enhances precision by reducing landmark and fissure positioning errors.

More Related Videos

Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment
05:56

Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment

Published on: August 9, 2024

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Related Experiment Videos

Last Updated: May 15, 2026

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

Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment
05:56

Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment

Published on: August 9, 2024

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Radiology

Background:

  • Accurate pulmonary image registration is crucial for analyzing lung motion and deformation.
  • Large lung deformations present significant challenges for traditional registration methods.
  • Intensity-only registration often struggles with accuracy in complex anatomical regions.

Purpose of the Study:

  • To develop a nonrigid volumetric registration algorithm for tracking lung motion between CT images at different inflation levels.
  • To introduce and evaluate a novel vesselness similarity cost function to enhance registration accuracy.
  • To assess the impact of the vesselness cost on intensity-only registration algorithms.

Main Methods:

  • A nonrigid volumetric registration algorithm was applied to intrasubject CT datasets from six human subjects.
  • Four intensity-only registration algorithms were compared with and without the addition of a vesselness similarity cost function.
  • Performance was evaluated using landmarks, vessel trees, fissure planes, and Jacobian determinant analysis.

Main Results:

  • Intensity-only registration methods showed an average error of ~1 mm at landmarks and ~1.5 mm on fissure planes.
  • Incorporating the vesselness cost function reduced landmark positioning errors by approximately 25% and fissure errors by 30%.
  • The vesselness cost improved registration accuracy near the thoracic cage and diaphragm, yielding more consistent deformation patterns.

Conclusions:

  • The proposed vesselness similarity cost function significantly enhances the accuracy of nonrigid pulmonary image registration.
  • This method provides more reliable tracking of lung motion and regional tissue deformation, particularly in challenging areas.
  • The algorithm offers improved precision for clinical applications requiring detailed analysis of lung dynamics.