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

7.9K
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...
7.9K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

236
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...
236

You might also read

Related Articles

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

Sort by
Same author

Robot-Assisted Reduction of the Ankle Joint via Multi-Body 3D-2D Image Registration.

IEEE transactions on medical robotics and bionics·2025
Same author

Effects of non-stationary blur on texture biomarkers of bone using Ultra-High Resolution CT.

Proceedings of SPIE--the International Society for Optical Engineering·2024
Same author

Performance assessment of surgical tracking systems based on statistical process control and longitudinal QA.

Computer assisted surgery (Abingdon, England)·2023
Same author

Multi-Stage Adaptive Spline Autofocus (MASA) with a Learned Metric for Deformable Motion Compensation in Interventional Cone-Beam CT.

Proceedings of SPIE--the International Society for Optical Engineering·2023
Same author

Surgical navigation for guidewire placement from intraoperative fluoroscopy in orthopaedic surgery.

Physics in medicine and biology·2023
Same author

Incorporating Tissue Excision in Deformable Image Registration: A Modified Demons Algorithm for Cone-Beam CT-Guided Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2023
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: Jan 2, 2026

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.6K

Cone-beam CT dose and imaging performance evaluation with a modular, multipurpose phantom.

J H Siewerdsen1, A Uneri1, A M Hernandez2

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.

Medical Physics
|December 7, 2019
PubMed
Summary
This summary is machine-generated.

A new modular phantom enables quantitative assessment of dose and imaging performance for various cone-beam computed tomography (CBCT) systems. This adaptable tool supports diverse clinical applications and quality assurance standards.

Keywords:
cone-beam CTdosimetryimage qualityphantomtechnical assessment

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

1.6K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.8K

Related Experiment Videos

Last Updated: Jan 2, 2026

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.6K
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

1.6K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.8K

Area of Science:

  • Medical Imaging Physics
  • Radiological Sciences
  • Medical Physics

Background:

  • Cone-beam computed tomography (CBCT) is widely used across various medical specialties.
  • Quantitative evaluation of CBCT systems is crucial for ensuring diagnostic accuracy and patient safety.
  • Existing phantoms may lack the adaptability for the diverse range of CBCT applications.

Purpose of the Study:

  • To report a novel modular phantom for comprehensive dosimetry and imaging performance evaluation in CBCT.
  • To provide a versatile tool adaptable to various CBCT imaging configurations and clinical applications.
  • To facilitate quantitative technical assessment of CBCT systems.

Main Methods:

  • The phantom comprises interchangeable modules for assessing image uniformity, noise, contrast, spatial resolution (MTF), and artifacts.
  • Automated software aids in phantom configuration recognition and structured reporting of test measures.
  • The phantom allows for in-situ air kerma measurements using an ionization chamber.
  • Demonstrated utility across diverse CBCT systems including orthopaedic, breast, image-guided surgery, angiography, and radiation therapy.

Main Results:

  • The phantom provided a consistent platform for quantitative dose and imaging performance assessment across multiple CBCT systems.
  • Demonstrated suitability for characterizing systems for distinct applications, from high-resolution bone imaging to soft-tissue contrast resolution.
  • Specific performance metrics (e.g., MTF, HU linearity, artifact magnitude) were characterized for different CBCT applications.

Conclusions:

  • The developed phantom offers an adaptable and quantitative method for CBCT dosimetry and imaging performance evaluation.
  • The phantom's metrics align with current rigorous physics testing methods.
  • It is well-suited for emerging quality assurance standards in CBCT.