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

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

You might also read

Related Articles

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

Sort by
Same author

Comprehensive Performance Testing and External Validation of an AI Algorithm to Detect and Segment Brain Metastases.

Neuro-oncology·2026
Same author

Conditional sparing in FLASH radiotherapy: Conformal dosimetry and ALARA remain essential.

Journal of applied clinical medical physics·2026
Same author

An experimental method for direct measurement of CT detector presampling MTF from reconstructed images.

Medical physics·2026
Same author

Automated Analysis for MR Coil QA.

Journal of applied clinical medical physics·2026
Same author

Feasibility and utility of a tablet-based digital neurocognitive assessment following radiosurgery for brain metastases.

Scientific reports·2026
Same author

Patterns of Failure After Definitive Ablative 5-Fraction Stereotactic Body Radiation Therapy for Inoperable Pancreatic Ductal Adenocarcinoma.

International journal of radiation oncology, biology, physics·2026

Related Experiment Video

Updated: Jun 28, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Streaking artifacts reduction in four-dimensional cone-beam computed tomography.

Shuai Leng1, Joseph Zambelli, Ranjini Tolakanahalli

  • 1Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin 53792, USA.

Medical Physics
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to reduce streaking artifacts in four-dimensional cone-beam CT (4D CBCT) used in radiation therapy. The technique significantly improves image quality by leveraging a prior image reconstruction for motion artifact reduction.

More Related Videos

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

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

Related Experiment Videos

Last Updated: Jun 28, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

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

Area of Science:

  • Medical Imaging
  • Radiation Oncology
  • Image Reconstruction

Background:

  • Gantry-mounted Cone-beam CT (CBCT) in image-guided radiation therapy (IGRT) faces challenges with patient motion during slow projection acquisition.
  • Four-dimensional CBCT (4D CBCT) aims to reduce motion artifacts by sorting data by respiratory phase, but severe undersampling artifacts persist due to limited projections.

Purpose of the Study:

  • To develop and validate a method for significantly reducing streaking artifacts in 4D CBCT images.
  • To improve the quality of 4D CBCT for enhanced patient positioning and adaptive treatment planning in radiation therapy.

Main Methods:

  • A prior image is reconstructed from all projections without gating to capture static structures.
  • Undersampling artifacts from static structures are estimated from the prior image.
  • Artifacts are removed from gated phase images using the estimated artifact information.

Main Results:

  • The proposed method effectively reduces streaking artifacts by 60% to 70% compared to conventional 4D CBCT.
  • Image fidelity of both stationary and moving objects is maintained.
  • Reconstruction is achievable within a standard 60-second scan time with a narrow 100 ms temporal gating window.

Conclusions:

  • The developed scheme offers a simple yet effective solution for mitigating undersampling artifacts in 4D CBCT.
  • This technique enhances the clinical utility of 4D CBCT for image-guided radiation therapy by improving image quality and artifact reduction.