• Login
    View Item 
    •   Home
    • UMass Chan Faculty and Staff Research and Publications
    • UMass Chan Faculty and Researcher Publications
    • View Item
    •   Home
    • UMass Chan Faculty and Staff Research and Publications
    • UMass Chan Faculty and Researcher Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsProfilesView

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingUsage StatisticsAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Clinical evaluation of three respiratory gating schemes for different respiratory patterns on cardiac SPECT

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Zhang, Duo
    Sun, Jingzhang
    Pretorius, P. Hendrik
    King, Michael A.
    Mok, Greta S. P.
    UMass Chan Affiliations
    Department of Radiology
    Document Type
    Journal Article
    Publication Date
    2020-06-24
    Keywords
    breathing pattern
    cardiac SPECT
    respiratory gating
    Biological and Chemical Physics
    Medical Biophysics
    Radiology
    Respiratory System
    
    Metadata
    Show full item record
    Link to Full Text
    https://doi.org/10.1002/mp.14354
    Abstract
    PURPOSE: Respiratory gating reduces respiratory blur in cardiac single photon emission computed tomography (SPECT). It can be implemented as three gating schemes: (a) equal amplitude-based gating (AG); (b) phase or time-based gating (TG); or (c) equal count-based gating (CG), that is, a variant of amplitude-based method. The goal of this study is to evaluate the effectiveness of these respiratory gating methods for patients with different respiratory patterns in myocardial perfusion SPECT. METHODS: We reviewed 1274 anonymized patient respiratory traces obtained via the Vicon motion-tracking system during their (99m) Tc-sestamibi SPECT scans and grouped them into four breathing categories: (a) regular respiration (RR); (b) periodic respiration (PR); (c) respiration with apnea (AR); and (d) unclassified respiration (UR). For each respiratory pattern, 15 patients were randomly selected and their list-mode data were rebinned using the three gating schemes. A preliminary reconstruction was performed for each gate with the heart region segmented and registered to a reference gate to estimate the respiratory motion. A final reconstruction incorporating respiratory motion correction was done to get a final image set. The estimated respiratory motion, the full-width-at-half-maxima (FWHM) measured across the image intensity profile of the left ventricle wall, as well as the normalized standard deviation measured in a uniform cuboid region of the thorax were analyzed. RESULTS: There are 47.1%, 24.3%, 13.5%, and 15.1% RR, PR, AR, and UR patients, respectively, among the 1274 patients in this study. The differences among the three gating schemes in RR were smaller than other respiratory patterns. The AG and CG methods showed statistically larger motion estimation than TG particularly in the AR and PR patterns. Noise of AG varied more in different gates, especially for AR and UR patterns. CONCLUSION: More than half of the patients reviewed exhibited nonregular breathing patterns. Amplitude-based gating, that is, AG and CG, is a preferred gating method for such patterns and is a robust respiratory gating implementation method given the respiratory pattern of the patients is unknown before data acquisition. Phase gating is also a feasible option for regular respiratory pattern.
    Source

    Zhang D, Sun J, Pretorius PH, King M, Mok GSP. Clinical evaluation of three respiratory gating schemes for different respiratory patterns on cardiac SPECT. Med Phys. 2020 Jun 24. doi: 10.1002/mp.14354. Epub ahead of print. PMID: 32583468. Link to article on publisher's site

    DOI
    10.1002/mp.14354
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29507
    PubMed ID
    32583468
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1002/mp.14354
    Scopus Count
    Collections
    UMass Chan Faculty and Researcher Publications
    Radiology Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Works found in eScholarship@UMassChan are protected by copyright unless otherwise indicated.
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.