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

You might also read

Related Articles

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

Sort by
Same author

Adjunctive quantification for more reproducible amyloid PET interpretation.

European radiology·2026
Same author

Comparison of alpha-particle track characteristics in GAGG and biological tissues for microdosimetry using experimentally validated GATE simulations with high-resolution track imaging.

Physics in medicine and biology·2026
Same author

[14. The Role of Radiological Technology Science in Targeted Radionuclide Therapy: Integrating Radiation Safety, Quantitative Imaging, and Dosimetry].

Nihon Hoshasen Gijutsu Gakkai zasshi·2026
Same author

Adsorption treatment of <sup>177</sup>Lu radioactive wastewater with <sup>177m</sup>Lu impurity: batch versus column methods.

Annals of nuclear medicine·2026
Same author

Straightforward PET phantom preparation using <sup>68</sup>Gallium diluted with acid.

Annals of nuclear medicine·2026
Same author

Phantom-based optimization of [<sup>18</sup>F]fluciclovine neuro-oncology imaging on a high-resolution dedicated head PET system: dual-pathway reconstruction protocols.

Annals of nuclear medicine·2026

Related Experiment Video

Updated: Jul 14, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.6K

Impact of irregular waveforms on data-driven respiratory gated PET/CT images processed using MotionFree algorithm.

Noriaki Miyaji1, Kenta Miwa2, Kosuke Yamashita3

  • 1Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan. miyaji41@fmu.ac.jp.

Annals of Nuclear Medicine
|October 5, 2023
PubMed
Summary

MotionFree® (AMF) accurately captures respiratory waveforms for improved PET/CT image analysis. Optimizing AMF parameters enhances quantitative accuracy, especially for irregular breathing patterns.

Keywords:
Data-driven respiratory gating (DDG)Image blurringMotion Free® (AMF)PETRespiratory motion

More Related Videos

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
05:07

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Published on: September 6, 2024

397
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

529

Related Experiment Videos

Last Updated: Jul 14, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.6K
Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
05:07

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Published on: September 6, 2024

397
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

529

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Processing

Background:

  • MotionFree® (AMF) is a novel data-driven respiratory gating (DDG) algorithm for clinical image processing.
  • Accurate respiratory motion compensation is crucial for quantitative PET/CT imaging.
  • Understanding the impact of normal and irregular respiratory motions on AMF performance is essential.

Purpose of the Study:

  • To verify the accuracy of respiratory waveforms derived by the AMF DDG algorithm.
  • To evaluate the effects of normal and irregular respiratory motions on PET/CT quantitative accuracy using AMF.

Main Methods:

  • Utilized a NEMA IEC body phantom with 18F-labeled spheres on a motion platform.
  • Simulated normal (sinusoidal, expiratory-paused) and irregular (changed amplitude, shifted baseline) respiratory waveforms.
  • Compared AMF-derived waveforms with input waveforms and assessed quantitative accuracy using recovery coefficients and improvement rates.

Main Results:

  • AMF-derived respiratory waveforms closely matched input waveforms.
  • Quantitative accuracy (recovery coefficients) was highest for stationary and expiratory-paused waveforms.
  • Irregular waveforms, particularly those with a shifted baseline, showed reduced improvement rates and significant differences in activity concentrations for smaller spheres (<28 mm).

Conclusions:

  • AMF with DDG accurately reproduces respiratory motion waveforms and improves quantitative accuracy across various breathing patterns.
  • The most significant improvement was observed with expiratory-paused waveforms, while shifted baseline waveforms showed the least benefit.
  • Optimizing the AMF 'width' parameter for irregular waveforms, especially those with shifted baselines, can further benefit patient imaging.