Evidence map›Paper›PMID 30406609›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Automated dynamic motion correction using normalized gradient fields for

Benjamin C Lee, Jonathan B Moody, Alexis Poitrasson-Rivière, Amanda C Melvin, Richard L Weinberg, James R Corbett, Venkatesh L Murthy, Edward P Ficaro

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 45 citations in OpenAlex.

  1. Reducing motion-correction-induced variability inJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Trial
  2. Review
  3. Dynamic frame-by-frame motion correction forEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Downward myocardial creep during stress PET imaging is inversely associated with mortality.European journal of nuclear medicine and molecular imaging · 2024
    Article
  8. Article
  9. Automated dynamic motion correction improves repeatability and reproducibility of myocardial blood flow quantification with rubidium-82 PET imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Article
  11. The prevalence of image degradation due to motion in rest-stress rubidium-82 imaging on a SiPM PET-CT system.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  12. Activity regimes for 82Rb cardiac PET: Effects on absolute MBF and MPI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  13. Article
  14. Article
  15. More evidence for adequate test-retest repeatability of myocardial blood flow quantification withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  16. Article
  17. Article
  18. Optimizing accuracy and precision with motion correction of PET myocardial blood flow measurements.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  19. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Review
  20. Patient motion correction for dynamic cardiac PET: Current status and challenges.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Benjamin C LeeINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 48108, USA.
Jonathan B MoodyINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 48108, USA.
Alexis Poitrasson-RivièreINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 48108, USA.
Amanda C MelvinDivision of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Richard L WeinbergDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
James R CorbettINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 48108, USA.
Venkatesh L MurthyDivision of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Edward P FicaroINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 48108, USA. EdFicaro@inviasolutions.com.
University of Michigan–Ann Arbor · USCorvia Medical (United States) · USMichigan Medicine · US

Funding

Molecular markers of early cardiometabolic health transitions in the CARDIA studyR01HL136685 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURTHY, VENKATESH LOCHARLA, SHAH, RAVI · 2017 to 2021
$2.6M
NHLBI NIH HHS R01 HL136685
6 · The paper itself

Abstract

backgroundPatient motion can lead to misalignment of left ventricular (LV) volumes-of-interest (VOIs) and subsequently inaccurate quantification of myocardial blood flow (MBF) and flow reserve (MFR) from dynamic PET myocardial perfusion images. We aimed to develop an image-based 3D-automated motion-correction algorithm that corrects the full dynamic sequence for translational motion, especially in the early blood phase frames (~ first minute) where the injected tracer activity is transitioning from the blood pool to the myocardium and where conventional image registration algorithms have had limited success.

methodsWe studied 225 consecutive patients who underwent dynamic rest/stress rubidium-82 chloride (

resultsThe automated motion-correction shifts were within 5 mm of the manual motion-correction shifts across the entire sequence. The automated and manual motion-correction global MBF values had excellent linear agreement (R = 0.99, y = 0.97x + 0.06). Uncorrected flows outside of the limits of agreement with the manual motion-corrected flows were brought into agreement in 90% of the cases for global MBF and in 87% of the cases for global MFR. The limits of agreement for stress MBF were also reduced twofold globally and by fourfold in the RCA territory.

conclusionsAn image-based, automated motion-correction algorithm for dynamic PET across the entire dynamic sequence using normalized gradient fields matched the results of manual motion correction in reducing bias and variance in MBF and MFR, particularly in the RCA territory.

Indexed as

Rubidium RadioisotopesAgedAlgorithmsCoronary CirculationFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMotionMyocardial Perfusion ImagingPattern Recognition, AutomatedPositron-Emission TomographyRubidiumSoftwareRubidiumRubidium-82Rubidium Radioisotopescoronary blood flowcoronary flow reserveimage artifactsmotion correctionMyocardial perfusion imaging: PET

Identifiers

PMID30406609
PMCPMC6504625
OpenAlexW2899539033

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.