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Effect of Bayesian penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification

Research output: Contribution to journalArticlepeer-review

James William O'Doherty, Daniel McGowan, Carla Abreu, Sally Fiona Barrington

Original languageEnglish
JournalJournal of Nuclear Cardiology
Early online date19 Jul 2016
DOIs
Accepted/In press10 May 2016
E-pub ahead of print19 Jul 2016

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Abstract

Objectives Myocardial blood flow (MBF) imaging is used in patients with suspected cardiac sarcoidosis, and also in stress/rest studies. The accuracy of MBF is dependent on imaging parameters such as new reconstruction methodologies. In this work, we aim to assess the impact of a novel PET reconstruction algorithm (Bayesian penalized likelihood – BPL) on the values determined from the calculation of [13N]-NH3 MBF values.

Methods. Data from 21 patients undergoing rest MBF evaluation [13N]-NH3 as part of sarcoidosis imaging were retrospectively analyzed. Each scan was reconstructed with a range of BPL coefficients (1-500), and standard clinical FBP and OSEM reconstructions. MBF values were calculated via an automated software routine for all datasets.

Results. Reconstruction of [13N]-NH3 dynamic data using the BPL, OSEM, or FBP reconstruction showed no quantitative differences for the calculation of territorial or global MBF (p=0.97). Image noise was lower using OSEM or BPL reconstructions than FBP and noise from BPL reached levels seen in OSEM images between B=300 and B=400. Intra-subject differences between all reconstructions over all patients over all cardiac territories showed a maximum coefficient of variation of 9.74%.

Conclusion. Quantitation of MBF via kinetic modeling of cardiac rest MBF by [13N]-NH3 is minimally affected by the use of a BPL reconstruction technique with BPL images presenting with less noise.

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