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

MRI Quality and Reader Experience in Organized Prostate Cancer Screening: Insights from the PROBASE Trial.

European urology oncology·2026
Same author

HyperSight<sup>TM</sup>-CBCT based monitoring of sarcopenia during definitive radiotherapy of prostate cancer: a longitudinal feasibility study.

Radiation oncology (London, England)·2026
Same author

Clinical MR Biomarkers.

Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer·2026
Same author

IDH status shapes glioma oncotopy: voxel-wise mapping of 644 adult diffuse gliomas.

Neuroradiology·2026
Same author

Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.

Magnetic resonance imaging·2026
Same author

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026

Related Experiment Video

Updated: Mar 11, 2026

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

6.2K

Respiratory motion compensation for simultaneous PET/MR based on highly undersampled MR data.

Christopher M Rank1, Thorsten Heußer1, Andreas Wetscherek2

  • 1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.

Medical Physics
|December 3, 2016
PubMed
Summary
This summary is machine-generated.

Respiratory motion significantly impacts thoracic Positron Emission Tomography (PET) imaging. A new joint motion estimation and reconstruction (jMoCo PET) method improves accuracy using rapid, undersampled Magnetic Resonance imaging (MR) data for motion compensation.

More Related Videos

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
08:22

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

1.3K
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

824

Related Experiment Videos

Last Updated: Mar 11, 2026

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

6.2K
3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
08:22

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

1.3K
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

824

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Magnetic Resonance Imaging

Background:

  • Thoracic Positron Emission Tomography (PET) imaging is often degraded by patient respiratory motion.
  • Accurate motion compensation is crucial for reliable PET image quantification.

Purpose of the Study:

  • To introduce and evaluate a novel PET/magnetic resonance (MR) respiratory motion compensation (MoCo) technique.
  • To enable motion compensation using highly undersampled MR data acquired in as little as 1 minute per bed position.

Main Methods:

  • The proposed 4D jMoCo PET method utilizes radial MR data for joint motion estimation and image reconstruction, incorporating temporal median filtering.
  • Motion vector fields derived from MR are integrated into the PET system matrix for reconstruction.
  • The method was validated using PET/MR simulations and patient data, comparing it against 3D PET, 4D gated PET, and a standard sequential MoCo approach (4D sMoCo PET).

Main Results:

  • 4D jMoCo PET with temporal filtering demonstrated superior quantification accuracy in simulations (2.3% mean absolute deviation) compared to other methods.
  • For patient data, 4D jMoCo PET using 1-minute MR acquisition achieved a 2.1% mean absolute deviation relative to 5-minute acquisitions, showing robustness even with significant undersampling.
  • The proposed method significantly increased SUVmean, SUVmax, and contrast compared to 3D PET.

Conclusions:

  • Artifact-robust motion estimation using rapid MR acquisition is feasible for PET/MR respiratory MoCo.
  • The developed 4D jMoCo PET technique significantly enhances PET image quality and quantification accuracy.
  • This approach allows for reduced MR acquisition times (as short as 1 min/bed) without compromising motion compensation effectiveness.