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 Video

Updated: Jun 13, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Fully automatic nonrigid registration-based local motion estimation for motion-corrected iterative cardiac CT

Alfonso A Isola1, Michael Grass, Wiro J Niessen

  • 1Philips Technologie GmbH Forschungslaboratorien, Roentgenstrasse 24-26, 22335 Hamburg, Germany. alfonso.isola@philips.com

Medical Physics
|April 14, 2010
PubMed
Summary

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

Deep Learning-Based Deblurring for Computed Tomography and a Phantom Evaluation for Coronary Artery Calcium Detectability.

Journal of computer assisted tomography·2026
Same author

ASO Visual Abstract: Predicting Failure of Active Surveillance in Desmoid-Type Fibromatosis using Radiomics: An International Multi-center Cohort Study.

Annals of surgical oncology·2026
Same author

Predicting Failure of Active Surveillance in Desmoid-Type Fibromatosis Using Radiomics: An International Multi-center Cohort Study.

Annals of surgical oncology·2026
Same author

Safety and Efficacy of Inhaled Natural Product Powders That Enhance Mucociliary Clearance.

AAPS PharmSciTech·2026
Same author

ADAMTS13 and von Willebrand Factor in relation to vascular cognitive impairment and cerebral small vessel disease: the heart-brain connection study.

Journal of thrombosis and haemostasis : JTH·2026
Same author

The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

This study introduces an automatic method using elastic image registration to compensate for cardiac motion in computed tomography scans. The technique significantly improves image quality, especially during strong heart movements, by reducing motion artifacts.

Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Image Processing

Background:

  • Cardiac computed tomography (CT) is vital for diagnosing cardiovascular diseases noninvasively.
  • Cardiac motion remains a significant limitation in CT image quality, causing artifacts.
  • Current electrocardiogram-gated methods have limited temporal resolution.

Purpose of the Study:

  • To introduce a novel method for motion compensation in cardiac CT.
  • To utilize elastic image registration for accurate cardiac motion determination.
  • To improve image quality by reducing motion artifacts in cardiac CT.

Main Methods:

  • A fully automatic elastic image registration was applied to a 4D cardiac CT dataset.
  • A stochastic optimizer and multiresolution approach were used for faster registration.

More Related Videos

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

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Related Experiment Videos

Last Updated: Jun 13, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

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

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

  • Motion-compensated iterative reconstruction was performed using the derived motion field, employing volume-adapted spherical basis functions (blobs).

    • Main Results:

    • The method was evaluated on phantom and clinical data, demonstrating improved image quality compared to standard gated iterative reconstruction.
    • Qualitative and quantitative accuracy studies confirmed the effectiveness of the estimated cardiac motion field.
    • Blob-volume adaptation, applied to clinical data for the first time, improved image quality in cases of divergent motion.

    Conclusions:

    • A fully automatic, motion-compensated, gated iterative CT reconstruction method using volume-adapted blobs was developed.
    • The proposed method yields excellent motion-corrected images, outperforming non-compensated results in phases of strong cardiac motion.
    • Volume-dependent blob-footprint adaptation effectively addresses volume changes caused by divergent motion fields in clinical applications.