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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

625
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...
625
Computed Tomography01:10

Computed Tomography

9.5K
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...
9.5K

You might also read

Related Articles

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

Sort by
Same author

Self-Attention Convolutional Neural Network for Improved MR Image Reconstruction.

Information sciences·2020
Same author

miR-365b regulates the development of non-small cell lung cancer via GALNT4.

Experimental and therapeutic medicine·2020
Same author

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

IEEE transactions on medical imaging·2020
Same author

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.

IEEE transactions on medical imaging·2020
Same author

Corrigendum: Neurotransmitters as Modulators of Neural Progenitor Cell Proliferation During Mammalian Neocortex Development.

Frontiers in cell and developmental biology·2020
Same author

Accelerating quantitative MR imaging with the incorporation of B<sub>1</sub> compensation using deep learning.

Magnetic resonance imaging·2020

Related Experiment Video

Updated: Mar 26, 2026

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue
07:48

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue

Published on: September 30, 2022

1.7K

Experimental validation of L-shell x-ray fluorescence computed tomography imaging: phantom study.

Magdalena Bazalova-Carter1, Moiz Ahmad2, Lei Xing3

  • 1Stanford University, Department of Radiation Oncology, 875 Blake Wilbur Dr, Stanford, California 94305, United States; University of Victoria, Department of Physics and Astronomy, Victoria, P.O. Box 1700 STN CSC, BC V8W 2Y2, Canada.

Journal of Medical Imaging (Bellingham, Wash.)
|February 4, 2016
PubMed
Summary

L-shell X-ray fluorescence computed tomography (XFCT) significantly enhances imaging sensitivity for detecting low gold concentrations. This advanced XFCT mode shows promise for molecular imaging in small animal studies.

Keywords:
computed tomography, L-shellgold contrastmolecular imagingx-ray fluorescence

More Related Videos

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

11.8K
Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

2.3K

Related Experiment Videos

Last Updated: Mar 26, 2026

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue
07:48

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue

Published on: September 30, 2022

1.7K
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

11.8K
Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

2.3K

Area of Science:

  • Medical Imaging
  • Nanotechnology
  • Biochemistry

Background:

  • X-ray fluorescence computed tomography (XFCT) is advancing molecular imaging, particularly for probes like gold nanoparticles.
  • Current K-shell XFCT lacks sensitivity for low gold concentrations in small animal studies.
  • L-shell X-rays offer a higher signal-to-background ratio, improving XFCT sensitivity.

Purpose of the Study:

  • To experimentally demonstrate the feasibility of L-shell XFCT imaging.
  • To assess the achievable sensitivity of L-shell XFCT.

Main Methods:

  • Developed an experimental L-shell XFCT system with a miniature X-ray tube and spectrometers.
  • Utilized a silicon drift detector (SDD) and a CdTe detector.
  • Imaged a water phantom with gold solutions at varying concentrations (0.06-0.1% Au).

Main Results:

  • All gold vials were detectable using the SDD L-shell XFCT setup.
  • No gold vials were visible with the CdTe L-shell XFCT setup.
  • Achieved a detectability limit of 0.007% Au with the SDD L-shell XFCT system.

Conclusions:

  • L-shell XFCT imaging is feasible and offers greatly enhanced sensitivity.
  • The SDD-based L-shell XFCT system is suitable for detecting low gold concentrations relevant to small animal studies.