Skip to main content

Main menu

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

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

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

Advanced Search

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

Signal Extraction and Separation in In Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis

Fredrik Engbrant, Azita Monazzam, Per-Edvin Svensson, Johan Olsson, Ewert Bengtsson and Pasha Razifar
Journal of Nuclear Medicine Technology June 2010, 38 (2) 53-60; DOI: https://doi.org/10.2967/jnmt.110.075085
Fredrik Engbrant
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Azita Monazzam
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Per-Edvin Svensson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Johan Olsson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ewert Bengtsson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pasha Razifar
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Additional Files
  • FIGURE 1. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1. 

    Step-by-step masking of PET series created in small-animal PET study of rat with 18F tracer. Results shown were obtained after masking steps for slice 30 of 61.

  • FIGURE 2. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2. 

    Slice 31 of 61 from MVW-PC1 images of mouse data. Time protocols had frame lengths of 1 min (A and E), 2 min (B and F), 5 min (C and G), and 10 min (D and H). Spine is clearly visible in upper portions of images. There are no visible differences among time protocols. (A color version of this figure is available as a supplemental file online at http://tech.snmjournals.org.)

  • FIGURE 3. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3. 

    Weight factors for MVW-PC1 images of mouse data. (Left) Weight factors for FBP-reconstructed images. (Right) Weight factors for OSEM-reconstructed images. In both cases, MVW-PC1 is close to mean image.

  • FIGURE 4. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 4. 

    Slice 31 of 61 from MVW-PC1 images of data acquired in rat study. Time protocols had frame lengths of 1 min (A and E), 2 min (B and F), 5 min (C and G), and 10 min (D and H). Spine is clearly visible in upper portions of images. Kidneys are visible in left and right portions of images. There are almost no visible differences among time protocols. (A color version of this figure is available as a supplemental file online at http://tech.snmjournals.org.)

  • FIGURE 5. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 5. 

    Weight factors for MVW-PC1 images of rat data. (Left) Weight factors for FBP-reconstructed images. (Right) Weight factors for OSEM-reconstructed images. In both cases, MVW-PC1 assigns higher weights to later frames, which typically contain less noise than earlier frames.

  • FIGURE 6. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 6. 

    Slice 31 of 61 from MVW-PC2 images of data acquired in mouse study. Time protocols had frame lengths of 1 min (A and E), 2 min (B and F), 5 min (C and G), and 10 min (D and H). Kidneys and urinary tract are clearly visible in images. Differences among time protocols are slight, especially for comparison of spine in upper portions of A and D. Spine in G has slightly higher amplitude than spine in E, F, and H. (A color version of this figure is available as a supplemental file online at http://tech.snmjournals.org.)

  • FIGURE 7. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 7. 

    Weight factors for MVW-PC2 images of mouse data. (Left) Weight factors for images reconstructed with FBP. (Right) Weight factors for images reconstructed with OSEM. In both cases, MVW-PC2 assigns higher weights to earlier frames, which show higher signal intensity in kidneys, and negative weights in second half of scan, in which kidneys show little activity.

  • FIGURE 8. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 8. 

    Slice 31 of 61 from MVW-PC2 images of data acquired in rat study. Time protocols had frame lengths of 1 min (A and E), 2 min (B and F), 5 min (C and G), and 10 min (D and H). Kidneys and urinary tract are clearly visible in middle portions of images. There are small but visible differences among OSEM-reconstructed images (E–H). (A color version of this figure is available as a supplemental file online at http://tech.snmjournals.org.)

  • FIGURE 9. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 9. 

    Weight factors for MVW-PC2 images of rat data. (Left) Weight factors for images reconstructed with FBP. (Right) Weight factors for images reconstructed with OSEM. In both cases, MVW-PC2 assigns higher weights to first half of frames, which contain higher signal intensity in kidneys, and negative weights in last part of scan, in which kidneys have little activity. There are differences between FBP and OSEM in shapes of weight factors, especially in beginning of scan, in which weight factor for OSEM-reconstructed data (right) is close to 0 in first part of scan.

  • FIGURE 10. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 10. 

    Regions of interest (ROIs) used to calculate time–activity curves shown in Figure 11. ROIs are drawn on MVW-PC1 image for spine and on MVW-PC2 images for kidneys. (A color version of this figure is available as a supplemental file online at http://tech.snmjournals.org.)

  • FIGURE 11. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 11. 

    Time–activity curves for spine and left and right kidneys. Activity data were collected from 1-min frame of original dataset obtained from scanned mouse and reconstructed with FBP.

Additional Files

  • Figures
  • Supplemental Data

    Files in this Data Supplement:

    • Color Versions of Figures
    • Supplemental Video
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine Technology: 38 (2)
Journal of Nuclear Medicine Technology
Vol. 38, Issue 2
June 2010
  • Table of Contents
  • About the Cover
  • Index by author
Print
Download PDF
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 Technology.

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.
Signal Extraction and Separation in In Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis
(Your Name) has sent you a message from Journal of Nuclear Medicine Technology
(Your Name) thought you would like to see the Journal of Nuclear Medicine Technology web site.
Citation Tools
Signal Extraction and Separation in In Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis
Fredrik Engbrant, Azita Monazzam, Per-Edvin Svensson, Johan Olsson, Ewert Bengtsson, Pasha Razifar
Journal of Nuclear Medicine Technology Jun 2010, 38 (2) 53-60; DOI: 10.2967/jnmt.110.075085

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Signal Extraction and Separation in In Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis
Fredrik Engbrant, Azita Monazzam, Per-Edvin Svensson, Johan Olsson, Ewert Bengtsson, Pasha Razifar
Journal of Nuclear Medicine Technology Jun 2010, 38 (2) 53-60; DOI: 10.2967/jnmt.110.075085
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Laminin receptor specific therapeutic gold nanoparticles (198AuNP-EGCg) show efficacy in treating prostate cancer
  • Characterization and Reduction of Noise in Dynamic PET Data Using Masked Volumewise Principal Component Analysis
  • Google Scholar

More in this TOC Section

  • Early 10-Minute Postinjection [18F]F-FAPI-42 uEXPLORER Total-Body PET/CT Scanning Protocol for Staging Lung Cancer Using HYPER Iterative Reconstruction
  • Single- Versus Dual-Time-Point Imaging for Transthyretin Cardiac Amyloid Using 99mTc-Pyrophosphate
  • Does Arthrography Improve Accuracy of SPECT/CT for Diagnosis of Aseptic Loosening in Patients with Painful Knee Arthroplasty: A Systematic Review and Metaanalysis
Show more Imaging

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire