Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Corporate & Special Sales
    • Journal Claims
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
  • 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
  • My Cart

Search

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

Advanced Search

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

Time savings of a multi-atlas approach for liver segmentation

Marri Horvat, Aaron Nelson and Sara Pirozzi
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 1523;
Marri Horvat
1MIM Software Inc., Cleveland, OH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aaron Nelson
1MIM Software Inc., Cleveland, OH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sara Pirozzi
1MIM Software Inc., Cleveland, OH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
Loading

Abstract

1523

Objectives Generating liver volumes of interest (VOIs) is important for both therapy and surgical planning. Manual segmentation approaches are time consuming. In this study we evaluated a multi-atlas segmentation method as a time savings approach for liver VOI generation.

Methods Forty subjects with CT scans and pre-defined liver VOIs were made into an atlas library. A leave-one-out analysis was used for 10 subjects to evaluate the accuracy of a multi-atlas approach. The five best atlas matches were automatically found for each test subject and the VOIs from each were deformed to the test subject. The five VOIs were combined using majority vote into a single auto liver VOI. The Dice Similarity Coefficient (DSC) was calculated between the auto VOI and the manual VOI for each subject. Times to correct the auto VOIs into final VOIs were recorded and compared to previously determined average manual segmentation times.

Results The average DSC for auto VOIs was 0.97 +/- 0.01. Time to edit the auto liver VOIs was 10.8 minutes +/- 4 minutes per subject compared to 34.8 +/- 8 minutes for manual VOI generation found previously for livers of this size. This represents a 70% reduction in segmentation time.

Conclusions A multi-atlas approach was found to provide significant time savings for liver VOI generation with an average time savings of 70% over manual segmentation. The multi-atlas method has the potential to be a valuable tool in aiding therapy and surgical planning.

Previous
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 55, Issue supplement 1
May 2014
  • 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.
Time savings of a multi-atlas approach for liver segmentation
(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
Time savings of a multi-atlas approach for liver segmentation
Marri Horvat, Aaron Nelson, Sara Pirozzi
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 1523;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Time savings of a multi-atlas approach for liver segmentation
Marri Horvat, Aaron Nelson, Sara Pirozzi
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 1523;
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Info & Metrics

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

Oncology: Basic, Translational & Therapy

  • Oleanolic acid enhance the radiosensitivity of C6 rat glioma cells by down-regulating HIF-1α expression
  • A comparison study of remnant thyroid gland using salivary scintigraphy with post-ablation I-131 scan
  • Comparison of 18F-FDG kinetics between oral uptake and venous injection
Show more Oncology: Basic, Translational & Therapy

MTA I: Technical Advances & Quantification Posters

  • Evaulation of response to TARE treatment in advanced liver malignancy by Yittrium-90 (90Y) Time of Flight PET/CT: Comparison with pretreatment 99mTc-MAA SPECT.
  • Quantitative analysis of blood-borne 18F-FMISO metabolites in cancer patients by HPLC using an integrated high-sensitivity coincidence detector
  • Successful PET Imaging of Pancreatic Tumors in Mice, Achieved by Reverse Contrast CT
Show more MTA I: Technical Advances & Quantification Posters

Similar Articles

SNMMI

© 2022 Journal of Nuclear Medicine

Powered by HighWire