Influence of different time framings, reconstruction algorithms and post-processing methods on the quantification of myocardial blood flow from 13N-NH3 PET images
(2023) In Clinical Physiology and Functional Imaging- Abstract
Background: The aim was to investigate to what extent the quantification of myocardial blood flow (MBF) from dynamic 13N-NH3 positron emission tomography (PET) images is affected by time frame schemes, time-of-flight (ToF), reconstruction algorithms, blood pool volume of interest (VOI) locations and compartment models in patients with suspected chronic coronary syndrome. Methods: A standard MBF value was determined from 25 patients' rest/stress 13N-NH3 PET/CT images reconstructed with ordered subset expectation maximization (OSEM), 5 s time frame for the first frames without ToF, subsequently analyzed using a basal VOI and the deGrado compartment model. MBFs calculated using 2 or 10 s for the... (More)
Background: The aim was to investigate to what extent the quantification of myocardial blood flow (MBF) from dynamic 13N-NH3 positron emission tomography (PET) images is affected by time frame schemes, time-of-flight (ToF), reconstruction algorithms, blood pool volume of interest (VOI) locations and compartment models in patients with suspected chronic coronary syndrome. Methods: A standard MBF value was determined from 25 patients' rest/stress 13N-NH3 PET/CT images reconstructed with ordered subset expectation maximization (OSEM), 5 s time frame for the first frames without ToF, subsequently analyzed using a basal VOI and the deGrado compartment model. MBFs calculated using 2 or 10 s for the first frames, ToF, block-sequential regularized expectation maximization (BSREM), apical or large VOI, Hutchins or Krivokapich compartment models were compared to MBFstandard in Bland–Altman plots (bias ± SD). Results: Good agreement in global rest/stress MBF (mL/min/g) was found when changing the time frame scheme or reconstruction algorithm (MBFstandard vs. MBF2s: −0.02 ± 0.06; MBF10s: 0.01 ± 0.07; MBFBSREM: 0.01 ± 0.07), while a lower level of agreement was found when altering the other factors (MBFstandard vs. MBFToF: −0.07 ± 0.10; MBFapical VOI: −0.27 ± 0.25; MBFlarge VOI: −0.11 ± 0.10; MBFHutchins: −0.08 ± 0.10; MBFKrivokapich: −0.47 ± 0.50). Conclusions: Quantification of MBF from 13N-NH3 PET images is more affected by choice of compartment models, ToF and blood pool VOIs than by different time frame schemes and reconstruction algorithms.
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- author
- Akil, Shahnaz LU ; Székely, Anna E. LU ; Hedeer, Fredrik LU ; Olsson, Berit LU ; Engblom, Henrik LU and Hindorf, Cecilia LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- in press
- subject
- keywords
- chronic coronary syndrome, compartment model, myocardial blood flow, positron emission tomography, reconstruction algorithm, time frame scheme, time-of-flight
- in
- Clinical Physiology and Functional Imaging
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:37881129
- scopus:85176922891
- ISSN
- 1475-0961
- DOI
- 10.1111/cpf.12861
- language
- English
- LU publication?
- yes
- id
- 265ccf6a-3d84-4edf-a4f0-c0a0188e1016
- date added to LUP
- 2024-01-11 10:13:11
- date last changed
- 2024-04-12 03:04:09
@article{265ccf6a-3d84-4edf-a4f0-c0a0188e1016,
abstract = {{<p>Background: The aim was to investigate to what extent the quantification of myocardial blood flow (MBF) from dynamic <sup>13</sup>N-NH<sub>3</sub> positron emission tomography (PET) images is affected by time frame schemes, time-of-flight (ToF), reconstruction algorithms, blood pool volume of interest (VOI) locations and compartment models in patients with suspected chronic coronary syndrome. Methods: A standard MBF value was determined from 25 patients' rest/stress <sup>13</sup>N-NH<sub>3</sub> PET/CT images reconstructed with ordered subset expectation maximization (OSEM), 5 s time frame for the first frames without ToF, subsequently analyzed using a basal VOI and the deGrado compartment model. MBFs calculated using 2 or 10 s for the first frames, ToF, block-sequential regularized expectation maximization (BSREM), apical or large VOI, Hutchins or Krivokapich compartment models were compared to MBF<sub>standard</sub> in Bland–Altman plots (bias ± SD). Results: Good agreement in global rest/stress MBF (mL/min/g) was found when changing the time frame scheme or reconstruction algorithm (MBF<sub>standard</sub> vs. MBF<sub>2s</sub>: −0.02 ± 0.06; MBF<sub>10s</sub>: 0.01 ± 0.07; MBF<sub>BSREM</sub>: 0.01 ± 0.07), while a lower level of agreement was found when altering the other factors (MBF<sub>standard</sub> vs. MBF<sub>ToF</sub>: −0.07 ± 0.10; MBF<sub>apical VOI</sub>: −0.27 ± 0.25; MBF<sub>large VOI</sub>: −0.11 ± 0.10; MBF<sub>Hutchins</sub>: −0.08 ± 0.10; MBF<sub>Krivokapich</sub>: −0.47 ± 0.50). Conclusions: Quantification of MBF from <sup>13</sup>N-NH<sub>3</sub> PET images is more affected by choice of compartment models, ToF and blood pool VOIs than by different time frame schemes and reconstruction algorithms.</p>}},
author = {{Akil, Shahnaz and Székely, Anna E. and Hedeer, Fredrik and Olsson, Berit and Engblom, Henrik and Hindorf, Cecilia}},
issn = {{1475-0961}},
keywords = {{chronic coronary syndrome; compartment model; myocardial blood flow; positron emission tomography; reconstruction algorithm; time frame scheme; time-of-flight}},
language = {{eng}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Clinical Physiology and Functional Imaging}},
title = {{Influence of different time framings, reconstruction algorithms and post-processing methods on the quantification of myocardial blood flow from <sup>13</sup>N-NH<sub>3</sub> PET images}},
url = {{http://dx.doi.org/10.1111/cpf.12861}},
doi = {{10.1111/cpf.12861}},
year = {{2023}},
}