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Title of Journal: J Nucl Cardiol

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Abbravation: Journal of Nuclear Cardiology

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Springer US

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DOI

10.1007/bf01086924

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1532-6551

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Effect of Bayesianpenalized likelihood reconstruc

Authors: Jim O’ Doherty Daniel R McGowan Carla Abreu Sally Barrington
Publish Date: 2016/07/19
Volume: 24, Issue: 1, Pages: 282-290
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Abstract

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 Bayesianpenalized likelihood—BPL on the values determined from the calculation of 13NNH3 MBF valuesData from 21 patients undergoing rest MBF evaluation 13NNH3 as part of sarcoidosis imaging were retrospectively analyzed Each scan was reconstructed with a range of BPL coefficients 1500 and standard clinical FBP and OSEM reconstructions MBF values were calculated via an automated software routine for all datasetsReconstruction of 13NNH3 dynamic data using the BPL OSEM or FBP reconstruction showed no quantitative differences for the calculation of territorial or global MBF P = 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 Intrasubject differences between all reconstructions over all patients in respect of all cardiac territories showed a maximum coefficient of variation of 974

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