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

6.9K
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...
6.9K
X-ray Imaging01:24

X-ray Imaging

8.5K
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...
8.5K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

84
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...
84

You might also read

Related Articles

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

Sort by
Same author

Comparison of Resistive Index and Volume Flow in Ultrasound of Arteriovenous Fistula for Dialysis Access.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same author

Long-Term Kidney Outcomes in Paediatric Osteosarcoma Survivors: A 20-Year Multi-Centre Study.

Cancers·2026
Same author

Gestational Weight Gain and Its Association With Preeclampsia and Blood Pressure Trends: A Retrospective Cohort Study.

The Australian & New Zealand journal of obstetrics & gynaecology·2026
Same author

Impact of Thyroxine Treatment on Myelination in Premature Neonates With Intraventricular Hemorrhage: An Magnetic Resonance Imaging-Based Approach.

Pediatric neurology·2026
Same author

Caring for Australians and New Zealanders with kidney Impairment guidelines commentary on the Kidney Disease: Improving Global Outcomes clinical practice guideline for management of diabetes and chronic kidney disease.

Internal medicine journal·2026
Same author

Toward a documentary standard for performance testing of terrestrial laser scanners used in forensic practice: A statistical procedure to assess change in instrument precision.

Journal of forensic sciences·2026
Same journal

Precise Numerical Differentiation of Thermodynamic Functions with Multicomplex Variables.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Characterization of 3-Dimensional Printing and Casting Materials for use in Computed Tomography and X-ray Imaging Phantoms.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

On The Quotient of a Centralized and a Non-centralized Complex Gaussian Random Variable.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Fast Methods for Finding Multiple Effective Influencers in Real Networks.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

Disinfection of Respirators with Ultraviolet Radiation.

Journal of research of the National Institute of Standards and Technology·2024
Same journal

DNA Origami Design: A How-To Tutorial.

Journal of research of the National Institute of Standards and Technology·2024
See all related articles

Related Experiment Video

Updated: Oct 10, 2025

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography CT and Light Microscopy LM Correlated with Scanning Electron Microscopy SEM
10:42

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography CT and Light Microscopy LM Correlated with Scanning Electron Microscopy SEM

Published on: June 16, 2016

9.4K

X-ray Computed Tomography Instrument Performance Evaluation, Part I: Sensitivity to Detector Geometry Errors.

Bala Muralikrishnan1, Meghan Shilling1, Steve Phillips1

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.

Journal of Research of the National Institute of Standards and Technology
|December 8, 2021
PubMed
Summary
This summary is machine-generated.

Standardized testing for X-ray computed tomography (XCT) is crucial for engineering. This study introduces a new ray tracing method to accurately measure dimensional errors in XCT instruments, supporting ASME and ISO standards development.

Keywords:
X-ray computed tomographycone-beamdistance errordocumentary standardsform errorgeometry errorsperformance evaluationradiograph-based methodsensitivity analysissingle-point ray tracing method

More Related Videos

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

10.0K
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
10:39

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

Published on: October 11, 2016

9.8K

Related Experiment Videos

Last Updated: Oct 10, 2025

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography CT and Light Microscopy LM Correlated with Scanning Electron Microscopy SEM
10:42

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography CT and Light Microscopy LM Correlated with Scanning Electron Microscopy SEM

Published on: June 16, 2016

9.4K
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

10.0K
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
10:39

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

Published on: October 11, 2016

9.8K

Area of Science:

  • Metrology
  • Mechanical Engineering
  • Non-destructive Testing

Background:

  • X-ray computed tomography (XCT) is increasingly used for precise dimensional measurements in engineering components.
  • Standardized test procedures are needed to verify XCT instrument specifications and ensure metrological traceability.
  • Existing standards development by ASME and ISO requires methods sensitive to all known error sources.

Purpose of the Study:

  • To investigate the impact of instrument geometry errors on dimensional measurements using XCT.
  • To develop and validate a novel method for assessing detector and rotation stage errors in cone-beam XCT.
  • To support the creation of international standards for XCT performance evaluation.

Main Methods:

  • Developed a single-point ray tracing method for efficient error determination.
  • Analyzed detector and rotation stage errors in cone-beam XCT instruments.
  • Investigated optimal sphere placement for sensitivity to specific geometry errors.
  • Validated the novel method against conventional radiograph-based reconstruction.

Main Results:

  • The single-point ray tracing method accurately determines sphere center-to-center distance and form errors.
  • Identified the influence of detector and rotation stage errors on dimensional accuracy.
  • Demonstrated optimal sphere arrangements for error detection.
  • Validated the method's efficacy compared to existing techniques.

Conclusions:

  • The single-point ray tracing method offers an efficient way to quantify XCT geometry errors.
  • This work provides essential data and methodologies for developing robust XCT performance standards.
  • Findings directly contribute to ongoing standardization efforts by ASME and ISO.