Literature DB >> 31388967

Assessment of motion correction in dynamic rubidium-82 cardiac PET with and without frame-by-frame adjustment of attenuation maps for calculation of myocardial blood flow.

Ian S Armstrong1, Matthew J Memmott2, Kimberley J Saint2, Antoine Saillant3, Charles Hayden3, Parthiban Arumugam2.   

Abstract

BACKGROUND: Patient motion during pharmacological stressing can have substantial impact on myocardial blood flow (MBF) estimated from dynamic PET. This work evaluated a motion correction algorithm with and without adjustment of the PET attenuation map.
METHODS: Frame-by-frame motion correction was performed by three users on 30 rubidium-82 studies. Data were divided equally into three groups of motion severity [mild (M1), moderate (M2) and severe (M3)]. MBF data were compared for non-motion corrected (NC), motion-corrected-only (MC) and with adjustment of the attenuation map (MCAC). Percentage differences of MBF were calculated in the coronary territories and 17-segment polar plots. Polar plots of spill-over were also generated from the data.
RESULTS: Median differences of 23% were seen in the RCA and 18% for the LAD in the M3 category for MC vs NC images. Differences for MCAC vs MC images were considerably smaller and typically < 10%. Spill-over plots for MC and MCAC were notably more uniform compared with NC images.
CONCLUSION: Motion correction for dynamic rubidium data is desirable for future MBF software updates. Adjustment of the PET attenuation map results in only marginal differences and therefore is unlikely to be an essential requirement. Assessing the uniformity of spill-over plots is a useful visual aid for verifying motion correction techniques.
© 2019. American Society of Nuclear Cardiology.

Entities:  

Keywords:  CAD; PET; image analysis; image reconstruction; myocardial blood flow

Mesh:

Substances:

Year:  2019        PMID: 31388967     DOI: 10.1007/s12350-019-01834-5

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  4 in total

1.  Automated dynamic motion correction using normalized gradient fields for 82rubidium PET myocardial blood flow quantification.

Authors:  Benjamin C Lee; Jonathan B Moody; Alexis Poitrasson-Rivière; Amanda C Melvin; Richard L Weinberg; James R Corbett; Venkatesh L Murthy; Edward P Ficaro
Journal:  J Nucl Cardiol       Date:  2018-11-07       Impact factor: 5.952

2.  Body weight-dependent Rubidium-82 activity results in constant image quality in myocardial perfusion imaging with PET.

Authors:  J D van Dijk; M Dotinga; P L Jager; C H Slump; J P Ottervanger; M Mouden; J A van Dalen
Journal:  J Nucl Cardiol       Date:  2019-09-04       Impact factor: 5.952

3.  How to detect and correct myocardial creep in myocardial perfusion imaging using Rubidium-82 PET?

Authors:  S S Koenders; J D van Dijk; P L Jager; J P Ottervanger; C H Slump; J A van Dalen
Journal:  J Nucl Cardiol       Date:  2019-02-20       Impact factor: 5.952

  4 in total
  8 in total

1.  Optimizing accuracy and precision with motion correction of PET myocardial blood flow measurements.

Authors:  Alexis Poitrasson-Rivière; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2019-10-23       Impact factor: 5.952

2.  Deriving myocardial blood flow reserve from perfusion datasets: Dream or reality?

Authors:  Alexis Poitrasson-Rivière; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2021-01-13       Impact factor: 5.952

Review 3.  Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications.

Authors:  Piotr J Slomka; Jonathan B Moody; Robert J H Miller; Jennifer M Renaud; Edward P Ficaro; Ernest V Garcia
Journal:  J Nucl Cardiol       Date:  2020-10-16       Impact factor: 5.952

4.  The prevalence of image degradation due to motion in rest-stress rubidium-82 imaging on a SiPM PET-CT system.

Authors:  Ian S Armstrong; Matthew J Memmott; Charles Hayden; Parthiban Arumugam
Journal:  J Nucl Cardiol       Date:  2021-02-19       Impact factor: 3.872

5.  Cardiac 15O-water PET: Does mismatched attenuation correction not matter?

Authors:  Benjamin C Lee
Journal:  J Nucl Cardiol       Date:  2021-03-09       Impact factor: 3.872

6.  Myocardial blood flow: Is motion correction necessary?

Authors:  Martin Lyngby Lassen; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2019-09-20       Impact factor: 5.952

7.  Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations.

Authors:  Jonathon A Nye; Marina Piccinelli; Doyeon Hwang; Charles David Cooke; Jin Chul Paeng; Joo Myung Lee; Sang-Geon Cho; Russell Folks; Hee-Seung Bom; Bon-Kwon Koo; Ernest V Garcia
Journal:  Med Phys       Date:  2021-07-20       Impact factor: 4.506

8.  A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system.

Authors:  Ian S Armstrong; Charles Hayden; Matthew J Memmott; Parthiban Arumugam
Journal:  J Nucl Cardiol       Date:  2020-05-21       Impact factor: 5.952

  8 in total

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