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Influence of different time framings, reconstruction algorithms and post-processing methods on the quantification of myocardial blood flow from 13N-NH3 PET images

Akil, Shahnaz (author)
Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital
Székely, Anna E. (author)
Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Hjärt-MR-gruppen i Lund,Forskargrupper vid Lunds universitet,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund Cardiac MR Group,Lund University Research Groups,Skåne University Hospital
Hedeer, Fredrik (author)
Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Hjärt-MR-gruppen i Lund,Forskargrupper vid Lunds universitet,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund Cardiac MR Group,Lund University Research Groups,Skåne University Hospital
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Olsson, Berit (author)
Lund University,Lunds universitet,Klinisk neurofysiologi,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Clinical Neurophysiology,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Skåne University Hospital
Engblom, Henrik (author)
Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Hjärt-MR-gruppen i Lund,Forskargrupper vid Lunds universitet,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund Cardiac MR Group,Lund University Research Groups,Skåne University Hospital
Hindorf, Cecilia (author)
Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Medicinsk strålningsfysik, Lund,Institutionen för kliniska vetenskaper, Lund,Hjärt-MR-gruppen i Lund,Forskargrupper vid Lunds universitet,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Medical Radiation Physics, Lund,Department of Clinical Sciences, Lund,Lund Cardiac MR Group,Lund University Research Groups
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 (creator_code:org_t)
2024
2024
English 10 s.
In: Clinical Physiology and Functional Imaging. - 1475-0961. ; 44:2, s. 154-163
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Keyword

chronic coronary syndrome
compartment model
myocardial blood flow
positron emission tomography
reconstruction algorithm
time frame scheme
time-of-flight

Publication and Content Type

art (subject category)
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