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

Computed Tomography01:10

Computed Tomography

9.2K
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...
9.2K
X-ray Imaging01:24

X-ray Imaging

10.8K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
10.8K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

1.0K
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
1.0K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

495
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...
495

You might also read

Related Articles

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

Sort by
Same author

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures.

Physics in medicine and biology·2026
Same author

Radiotherapy and diagnostic capacity in relation to the changing cancer burden in the Baltic States.

Acta oncologica (Stockholm, Sweden)·2026
Same author

Monte Carlo and film dosimetry study of collimator effects on penumbra and out-of-field dose for very high-energy electrons.

Physics in medicine and biology·2026
Same author

Overcoming Cancer Disparities Globally: Contributions of Norman Coleman.

Disaster medicine and public health preparedness·2026
Same author

A comparison of limited-angle CBCT photon-counting and flat-panel digital mammography in perceived detection and visualization of breast lesions.

Radiation protection dosimetry·2026
Same author

Developing evidence-based, cost-effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities.

Molecular oncology·2025
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Mar 1, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.7K

A general method for motion compensation in x-ray computed tomography.

Ander Biguri1, Manjit Dosanjh, Steven Hancock

  • 1Engineering Tomography Lab (ETL), University of Bath, Bath, United Kingdom.

Physics in Medicine and Biology
|June 2, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a new motion-compensation method for 4D x-ray tomography. It accurately reconstructs images from complete breathing data, reducing motion artefacts for improved image-guided radiation therapy.

More Related Videos

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

1.7K
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.2K

Related Experiment Videos

Last Updated: Mar 1, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.7K
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

1.7K
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.2K

Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Image Reconstruction

Background:

  • Motion during medical tomography causes blur artefacts, impacting treatment accuracy in image-guided radiation therapy.
  • Current 4D x-ray tomography methods often use respiratory phase binning, limiting data per reconstruction.
  • Reducing motion artefacts is crucial for precise tumor targeting and sparing healthy tissues.

Purpose of the Study:

  • To develop and demonstrate a novel motion-compensation method for 4D x-ray tomography.
  • To reconstruct images using the complete acquired dataset without phase binning or breath-holding.
  • To enable accurate image reconstruction at any point during the acquisition time span.

Main Methods:

  • A motion-compensation technique is applied to iterative reconstruction algorithms.
  • The method utilizes a known motion model to correct for patient movement during data acquisition.
  • Reconstruction is performed on the entire dataset, not subsets based on respiratory phase.

Main Results:

  • The demonstrated method accurately reconstructs images from complete datasets acquired during breathing.
  • Motion artefacts are significantly reduced, leading to clearer images.
  • The technique is compatible with existing iterative reconstruction algorithms.

Conclusions:

  • The developed motion-compensation method offers an effective alternative to phase binning in 4D x-ray tomography.
  • Accurate motion compensation enhances image quality for applications like image-guided radiation therapy.
  • This approach allows for precise treatment planning and delivery by providing artifact-free images.