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 II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

320
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
320

You might also read

Related Articles

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

Sort by
Same author

Correction: Bakr et al. The Effect of Electrode Materials on the Fusion Rate in Multi-State Fusion Reactors. <i>Materials</i> 2025, <i>18</i>, 3734.

Materials (Basel, Switzerland)·2026
Same author

Evaluating impacts of cerium oxide nanoparticles on natural assemblages of diatom-dominated phytobenthos and phytoplankton in river water.

The Science of the total environment·2025
Same author

The Effect of Electrode Materials on the Fusion Rate in Multi-State Fusion Reactors.

Materials (Basel, Switzerland)·2025
Same author

Rapid Identification of Hydrogen Isotopes in Water Mixtures by FTIR Spectroscopy.

ACS omega·2025
Same author

Combined Solid-State LiDAR and Fluorescence Photogrammetry Imaging to Determine Uranyl Mineral Distribution in a Legacy Uranium Mine.

Sensors (Basel, Switzerland)·2025
Same author

Long-Range Imaging of Alpha Emitters Using Radioluminescence in Open Environments: Daytime and Night-Time Applications.

Sensors (Basel, Switzerland)·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 19, 2025

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.8K

Radioactive Source Localisation via Projective Linear Reconstruction.

Samuel R White1, Kieran T Wood2, Peter G Martin1

  • 1HH Wills Physics Laboratory, School of Physics, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UK.

Sensors (Basel, Switzerland)
|February 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational method for precise radiological source localization using robotic measurements and a Detector Response Function. The Projective Linear Reconstruction algorithm successfully pinpointed sources within 2 cm, improving resolution by up to 10x.

Keywords:
inverse problemslinear inversionlocalisationmicro-gamma spectrometersradiation mappingradiation sensingrobotics sensing

More Related Videos

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

864
Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

12.9K

Related Experiment Videos

Last Updated: Nov 19, 2025

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.8K
Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

864
Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

12.9K

Area of Science:

  • Nuclear engineering
  • Radiation detection and measurement
  • Robotics and automation

Background:

  • Radiation mapping is crucial in the nuclear industry for environmental characterization.
  • Precisely localizing radiological sources is challenging due to gamma photon imaging limitations and source-detector uncertainties.
  • Accurate source delimitation is vital for decommissioning, waste processing, and homeland security.

Purpose of the Study:

  • To develop and assess a computational method for enhanced radiological source localization.
  • To improve the accuracy of source identification from scanning survey measurements.
  • To overcome the 'blurring' effect in radiation fields caused by unknown source numbers and separation uncertainties.

Main Methods:

  • A robotic arm was used to acquire radiation field measurements.
  • An experimentally derived Detector Response Function (DRF) was employed.
  • A randomized-Kaczmarz deconvolution algorithm, specifically Projective Linear Reconstruction (PLR), was applied to the measurements.

Main Results:

  • The PLR algorithm successfully located multiple point sources in emulated waste processing scenarios.
  • Source localization accuracy was achieved within 2 cm of the true positions.
  • Resolution enhancements ranging from 5x to 10x were demonstrated.

Conclusions:

  • The developed computational method significantly enhances the precision of radiological source localization.
  • Robotic scanning combined with DRF and PLR deconvolution offers a robust solution for complex radiation mapping challenges.
  • This technique has practical implications for nuclear industry applications requiring accurate source identification.