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
  • 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
    • 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
Research ArticleCLINICAL INVESTIGATIONS

Frequent Diagnostic Errors in Cardiac PET/CT Due to Misregistration of CT Attenuation and Emission PET Images: A Definitive Analysis of Causes, Consequences, and Corrections

K. Lance Gould, Tinsu Pan, Catalin Loghin, Nils P. Johnson, Ashrith Guha and Stefano Sdringola
Journal of Nuclear Medicine July 2007, 48 (7) 1112-1121; DOI: https://doi.org/10.2967/jnumed.107.039792
K. Lance Gould
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tinsu Pan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catalin Loghin
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nils P. Johnson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ashrith Guha
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefano Sdringola
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • FIGURE 1. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1. 

    (A) Topographic 3D displays of helical CT PET with a mild-to-moderate anterior and lateral defect (top row) that is not present on cine CT PET (bottom row). White indicates the highest myocardial uptake of 82Rb, reflecting the highest myocardial perfusion, with red being the next highest and progressively lower perfusion indicated by color gradations from red to yellow, green, and blue. (B) For same patient as in A, misregistration on helical CT-PET fusion images in transaxial (top) and coronal (bottom) views. Arrows indicate heart borders on helical CT and PET emission images as unmatched, with region of misregistration corresponding to area of artifactual defect. Magnified inset illustrates quantification of misregistration in transaxial view—here, 12 mm—using an electronic caliper on the screen. (C) For same patient, cine CT-PET fusion images show good coregistration associated with no defect and a normal scan.

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

    (A) Topographic 3D displays of helical CT PET with severe anterior, apical, lateral, and basal inferior defects (top row) that are also present but less severe on cine CT PET (middle row). Anterior, apical, and lateral defects normalize on shifted cine CT PET (bottom row). (B) For same patient as in A, helical CT-PET fusion images in transaxial (top) and coronal (bottom) views show marked misregistration. Arrows indicate heart borders on helical CT and PET emission images as unmatched, with region of misregistration corresponding to area of artifactual defect. (C) For same patient, cine CT-PET fusion images also show misregistration. (D) For same patient, shifted cine CT-PET fusion images with no misregistration associated with disappearance of artifactual anterior, apical, and lateral artifactual defects.

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

    (A) Stress perfusion images at yearly intervals using a Positron PET scanner with rotating rod transmission source show progressive improvement on a strict lifestyle and medical regimen. (B) For same patient as in A, rest and stress helical CT-PET fusion images at follow-up in 2006 were acquired during normal breathing before cine CT was available. Diaphragm–heart mismatch (arrows) on stress fusion image caused attenuation overcorrection inferiorly and associated relative anterior defect on stress PET despite borders of heart being properly coregistered on both rest and stress perfusion images (see text). (C) For same patient, follow-up stress perfusion helical CT PET images in 2006. Diaphragm–heart mismatch on stress fusion image shown in B caused artifactual anterior, lateral, and inferoapical defects (top row) that disappeared on repeated stress scan using Positron PET scanner with a rotating rod attenuation transmission source (bottom row) and correct coregistration.

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

    (A) Resting CT transmission image acquired over 29 s with normal breathing shows “motion layering” of CT scan (top row). Helical CT-PET fusion image demonstrates a corresponding notching of attenuation (arrows) and notched undercorrection of PET data. (B) For same patient as in A, corresponding rest–stress 3D topographic display has linear anterior and lateral artifacts (arrows) on rest emission scan caused by motion layering on resting CT scan, not present on stress scan. Mild inferior defect is not associated with any misregistration but is due to diffuse atherosclerosis of posterior descending coronary artery.

Tables

  • Figures
    • View popup
    TABLE 1

    All Patients

    Transaxial misregistration (mm)Artifactual PET defects due to misregistration
    NoneMildModerateSevereTotal
    ≤6148420154
    >6–1072219250
    >1011829755
    Total15644509259
    • χ2 P = 0.0000.

    • View popup
    TABLE 2

    Size and Severity of Misregistration Artifacts

    PET/CT (n = 122)SeveritySize–severity% ≤ 2.0 SD% ≤ 2.5 SDTransaxial misregistration (mm)n
    NA79.6 ± 3.10.1 ± 0.22.5 ± 3.10.8 ± 1.12.4 ± 2.419
    Artifacts73.9 ± 6.46.2 ± 14.68.6 ± 4.96.1 ± 4.911.7 ± 5.0103
    P for Δ0.00000.00000.00000.00000.0000
    Mild artifact75.9 ± 3.91.8 ± 3.66.8 ± 3.93.9 ± 3.510.2 ± 3.844
    P for Δ vs. NA0.00030.00240.00000.00000.0000
    Moderate artifact74.2 ± 5.33.8 ± 5.39.3 ± 5.06.8 ± 4.712.1 ± 5.050
    P for Δ vs. NA0.00000.00000.00000.00000.0000
    Severe artifact62.9 ± 10.341.07 ± 31.113.9 ± 3.812.3 ± 4.816.5 ± 7.39
    P for Δ vs. NA0.00110.00430.00000.00010.0003
    No or mild artifact77.0 ± 4.11.3 ± 3.15.5 ± 4.22.9 ± 3.37.9 ± 4.963
    Moderate or severe artifact72.4 ± 7.49.5 ± 18.410.0 ± 5.17.7 ± 5.112.8 ± 5.659
    P for Δ vs. no or mild0.00010.00130.00000.00000.0000
    • NA = no artifacts.

    • All patients with perfusion defects outside 2 SD from healthy subjects on final stress PET/CT images, considered to be “real” defects, were excluded from quantitative analysis of misregistration artifacts in this table.

    • View popup
    TABLE 3

    Patients with Both Helical and Cine CT PET

    PET/CT scanSeverity (% of maximum)Size–severity (% <60% maximum)% of LV <2.0 SD% LV <2.5 SDTransaxial misregistration (mm)Mean Δ cine vs. helical (mm)Diaphragm mm to CT 0Mean Δ mm diaphragm
    All helical CT PET74.2 ± 7.38.5 ± 17.58.2 ± 5.86.1 ± 5.68.34 ± 6.514.45.2 ± 15.83.3
    All cine CT PET77.6 ± 6.24.5 ± 11.65.1 ± 5.13.5 ± 4.73.93 ± 3.502.0 ± 15.4
    n = 114, P for Δ0.00000.00240.00000.00000.00000.0002
    Helical CT PET with artifacts73.7 ± 7.37.5 ± 17.68.7 ± 5.46.3 ± 5.311.87 ± 5.897.25.3 ± 16.92.6
    Cine CT PET same patients79.2 ± 5.01.2 ± 3.33.9 ± 3.82.2 ± 3.04.69 ± 3.672.7 ± 16.2
    n = 67, P for Δ0.00000.00380.00000.00000.00000.0334
    • LV = left ventricle.

    • Quantitative measurements of defects are for quadrant containing misregistration artifactual defect or for worst quadrant in absence of misregistration artifact.

    • View popup
    TABLE 4

    Patients with Cine CT PET Having Worse Misregistration Artifactual Defects than with Helical CT PET Corrected by Shifting Cine CT Data

    Cine CT PET worse than helical CT (8 patients)Severity (minimum quadrant average)Size–severity (% <60% maximum)Size (% ≤2.5 SD)Transaxial misregistration (mm)
    Helical CT PET74.79 ± 3.601.72 ± 2.585.26 ± 4.498.39 ± 3.00
    Cine CT PET71.28 ± 5.459.64 ± 10.2710.08 ± 5.5712.44 ± 5.51
    n = 8, P for Δ0.02160.02840.00180.0751
    Cine CT PET70.29 ± 5.0711.01 ± 10.2710.88 ± 5.4912.24 ± 5.93
    Shifted cine CT PET75.98 ± 6.104.05 ± 6.604.98 ± 5.772.71 ± 3.39
    n = 7*, P for Δ0.00430.06390.00470.0008
    • ↵* Quantitative shifted cine CT data were lost for 1 patient due to corruption of the header but with good saved images.

    • View popup
    TABLE 5

    Patients with Slow Helical CT over 29 Seconds During Breathing Compared with Patients with Fast 4-Second Helical CT at End-Expiratory Breath-Holding

    ComparisonNo artifactsArtifactsTotal% artifacts
    Slow helical CT with breathing1063914527
    Fast helical CT at end expiration506411456
    Total15610325940
    • χ2 P = 0.001.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 48 (7)
Journal of Nuclear Medicine
Vol. 48, Issue 7
July 2007
  • Table of Contents
  • Table of Contents (PDF)
  • 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.

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.
Frequent Diagnostic Errors in Cardiac PET/CT Due to Misregistration of CT Attenuation and Emission PET Images: A Definitive Analysis of Causes, Consequences, and Corrections
(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
Frequent Diagnostic Errors in Cardiac PET/CT Due to Misregistration of CT Attenuation and Emission PET Images: A Definitive Analysis of Causes, Consequences, and Corrections
K. Lance Gould, Tinsu Pan, Catalin Loghin, Nils P. Johnson, Ashrith Guha, Stefano Sdringola
Journal of Nuclear Medicine Jul 2007, 48 (7) 1112-1121; DOI: 10.2967/jnumed.107.039792

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Frequent Diagnostic Errors in Cardiac PET/CT Due to Misregistration of CT Attenuation and Emission PET Images: A Definitive Analysis of Causes, Consequences, and Corrections
K. Lance Gould, Tinsu Pan, Catalin Loghin, Nils P. Johnson, Ashrith Guha, Stefano Sdringola
Journal of Nuclear Medicine Jul 2007, 48 (7) 1112-1121; DOI: 10.2967/jnumed.107.039792
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
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Value of SiPM PET in myocardial perfusion imaging using Rubidium-82
  • PET by MRI: Glucose Imaging by 13C-MRS without Dynamic Nuclear Polarization by Noise Suppression through Tensor Decomposition Rank Reduction
  • Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning
  • Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
  • Routine Clinical Quantitative Rest Stress Myocardial Perfusion for Managing Coronary Artery Disease: Clinical Relevance of Test-Retest Variability
  • Myocardial Blood Flow and Inflammatory Cardiac Sarcoidosis
  • The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in 13N-Ammonia Myocardial PET/CT
  • Clinical Utility of Enhanced Relative Activity Recovery on Systolic Myocardial Perfusion SPECT: Lessons from PET
  • Regadenoson Versus Dipyridamole Hyperemia for Cardiac PET Imaging
  • SNMMI/ASNC/SCCT Guideline for Cardiac SPECT/CT and PET/CT 1.0
  • Cardiac PET/CT Misregistration Causes Significant Changes in Estimated Myocardial Blood Flow
  • Effective Dose of PET/CT in Informed Consent Forms
  • Physiological Basis for Angina and ST-Segment Change: PET-Verified Thresholds of Quantitative Stress Myocardial Perfusion and Coronary Flow Reserve
  • Impact of Unexpected Factors on Quantitative Myocardial Perfusion and Coronary Flow Reserve in Young, Asymptomatic Volunteers
  • Cardiac Dedicated Ultrafast SPECT Cameras: New Designs and Clinical Implications
  • Coronary Branch Steal: Experimental Validation and Clinical Implications of Interacting Stenosis in Branching Coronary Arteries
  • Characterization of a Perirectal Artifact in 18F-FDG PET/CT
  • Single-Phase CT Aligned to Gated PET for Respiratory Motion Correction in Cardiac PET/CT
  • Decreased Perfusion in the Lateral Wall of the Left Ventricle in PET/CT Studies with 13N-Ammonia: Evaluation in Healthy Adults
  • Nonrigid Versus Rigid Registration of Thoracic 18F-FDG PET and CT in Patients with Lung Cancer: An Intraindividual Comparison of Different Breathing Maneuvers
  • Integrated positron emission tomography/computed tomography (PET/CT) in coronary disease
  • Directions and Magnitudes of Misregistration of CT Attenuation-Corrected Myocardial Perfusion Studies: Incidence, Impact on Image Quality, and Guidance for Reregistration
  • Does Coronary Flow Trump Coronary Anatomy?
  • Cardiac Positron Emission Tomography
  • Coronary Flow Reserve and Pharmacologic Stress Perfusion Imaging: Beginnings and Evolution
  • Comparison of Myocardial Perfusion 82Rb PET Performed with CT- and Transmission CT-Based Attenuation Correction
  • SPECT/CT
  • Dual-Modality Imaging: Combining Anatomy and Function
  • Reducing Radiation Dose in Rest-Stress Cardiac PET/CT by Single Poststress Cine CT for Attenuation Correction: Quantitative Validation
  • Not All Randomized Trials Are Equal
  • Reply: Attenuation Correction for Stress and Rest PET 82Rb Myocardial Perfusion Images
  • Attenuation Correction for Stress and Rest PET 82Rb Myocardial Perfusion Images
  • Google Scholar

More in this TOC Section

  • Feasibility of Ultra-Low-Activity 18F-FDG PET/CT Imaging Using a Long–Axial-Field-of-View PET/CT System
  • Cardiac Presynaptic Sympathetic Nervous Function Evaluated by Cardiac PET in Patients with Chronotropic Incompetence Without Heart Failure
  • Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System
Show more Clinical Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire