Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Meeting ReportPoster - PhysicianPharm

Clinical evaluation of image registration in 18F-FDG PET/CT using motion free algorithm and respiratory motion protocols

Deok-Hwan Kim, Eun-Hye Yoo, Ui-Seong Hong, Jun-Hyeok Kim, Young-Heon Ko, Seung-Cheol Moon, Miju Cheon and Jang Yoo
Journal of Nuclear Medicine May 2021, 62 (supplement 1) 1548;
Deok-Hwan Kim
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eun-Hye Yoo
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ui-Seong Hong
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun-Hyeok Kim
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Young-Heon Ko
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seung-Cheol Moon
2General Electronic Healthcare Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Miju Cheon
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jang Yoo
1Nuclear Medicine Veterans Health Service Medical Center Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
Loading

Abstract

1548

Purpose: Respiratory motion can degrade 18F-FDG PET/CT image quality and affect quantitative evaluation of lesions causing inaccurate PET indices such as standard uptake value (SUV) and tumor volume. It can also lead to misregistration in fusion PET/CT images. To address this limitation, our clinical institute has installed PET/CT DMIDR (Discovery Molecular Imaging Digital Ready, General Electric Healthcare, USA) using AI algorithm-based respiratory motion artifact correction (Motion FreeTM). In this study, we aimed to evaluate the benefit of Motion Free algorithm through Phantom test and applying it to patients in clinical practice. Materials and Methods: The various size of NEMA IEC Body Phantom (sphere size 10mm, 22mm, 37mm) and vacuum vial (single, dual) were linked to RPM Phantom to produce the respiratory motion, before and after the Motion Free application through Phantom test. In addition, total 600 patients, who underwent 18F-FDG PET/CT for cancer work-up, were sequentially divided into 6 groups with 100 patients by each breathing protocol and CT scan time in a prospective research from September 2020 to December 2020. Various breathing protocols were applied as follows: a) Patients who were performed without any breathing instruction during image acquisition, b) Patients who were instructed as breathing holding after expiration during CT scan, c) Patients who were instructed as natural breathing. The CT scan protocol was performed as two protocols of 13 seconds and 8 seconds to evaluate the misregistration of fusion PET/CT images. The misregistration evaluation was assessed by distance more than 10mm of fusion PET/CT images based on liver dome.

Results: In the phantom test, the volume of Sphere using Motion Free was indicated as smaller size and higher SUV than those of Non Motion Free. This finding seems to be consistent with static image without causing motion. There was statically significant difference in fusion PET/CT misregistration according to CT scan time and each breathing protocols (p < 0.05). In ⓒ protocol with 13-second CT scan, the frequency of misregistration occurred in 51 cases, but the distance of misregistration was shorter than using other respiratory protocols (p < 0.05). In 8 seconds CT scan, the distance of misregistration revealed significantly shorter in ⓐ protocol than ⓑ. The frequency of misregistration occurred the least in ⓒ protocol, however, the distance of misregistration could not show statistical significance compared with ⓐ protocol.

Conclusions: In our study, Motion Free application can be clinically useful for respiratory motion artifact correction during 18F-FDG PET/CT acquisition. Furthermore, the shorter time of CT scan (8 seconds) can reduce the frequency of fusion PET/CT misregistration and natural breathing instruction can also improve the distance of misregistration.

Figure
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure
  • Download figure
  • Open in new tab
  • Download powerpoint
View this table:
  • View inline
  • View popup

The number of frequency of misregistration in fusion PET/CT images and misregistration distance

Previous
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 62, Issue supplement 1
May 1, 2021
  • Table of Contents
  • Index by author
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Clinical evaluation of image registration in 18F-FDG PET/CT using motion free algorithm and respiratory motion protocols
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Clinical evaluation of image registration in 18F-FDG PET/CT using motion free algorithm and respiratory motion protocols
Deok-Hwan Kim, Eun-Hye Yoo, Ui-Seong Hong, Jun-Hyeok Kim, Young-Heon Ko, Seung-Cheol Moon, Miju Cheon, Jang Yoo
Journal of Nuclear Medicine May 2021, 62 (supplement 1) 1548;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Clinical evaluation of image registration in 18F-FDG PET/CT using motion free algorithm and respiratory motion protocols
Deok-Hwan Kim, Eun-Hye Yoo, Ui-Seong Hong, Jun-Hyeok Kim, Young-Heon Ko, Seung-Cheol Moon, Miju Cheon, Jang Yoo
Journal of Nuclear Medicine May 2021, 62 (supplement 1) 1548;
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Figures & Data
  • Info & Metrics

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

Poster - PhysicianPharm

  • Preliminary result of Texture Analysis on prediction of overall outcome of neuroendocrine tumors based on pre-therapy heterogeneity of somatostatin receptors on 68Ga Dotatate PET/CT scans.
  • The Effect of BMI on High versus Low Administered Activity Protocol MPI Scan Time Using a CZT Camera in Clinical Practice
  • The Role of 18F-FDG-PET/CT Imaging in Predicting Outcome of Patients with Newly Diagnosed Multiple Myeloma
Show more Poster - PhysicianPharm

PIDS Image Generation

  • Clinical Use of Siemens VG80 Deviceless Gating and Comparison to Standard Belt-Based Techniques
  • Denoising PET via non-local means with entropy-based regulation.
  • Clinical evaluation on image quality of a deep learning-based denoising algorithm in 18F-FDG PET/CT studies
Show more PIDS Image Generation

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire