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Proceedings Paper

Effect of random coincidences for quantitative cardiac PET studies using 3D oxygen-15 water scans
Author(s): Y. Bouchareb; K. Thielemans; T. Spinks; O. Rimoldi; P. G. Camici
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Paper Abstract

The effect of random coincidences estimation methods on the quantitative accuracy of iterative and analytic reconstruction methods to determine myocardial blood flow (MBF) in PET studies using H2 15O has been investigated. Dynamic scans were acquired on the EXACT3D PET scanner on pigs after H2 15O injection (resting and dipyridamoleinduced stress). Radioactive microspheres (MS) were used to provide a "gold standard" of MBF values. The online subtraction (OS) and maximum likelihood (ML) methods for estimating randoms were combined with (i) 3D-RP, (ii) FORE + attenuation-weighted OSEM, (iii) FORE-FBP and (iv) 3D-OSEM. Factor images were generated and resliced to short axis images; 16 ROIs were defined in the left myocardium and 2 ROIs in the left and right cavities. ROIs were projected onto the dynamic images to extract time-activity-curves, which were then fitted to a single compartment model to estimate absolute MBF. Microsphere measurements were obtained in a similar way and 64 pairs of measurements were made. The ML method improved the SNR of 3D-RP, FORE-FBP, FORE-OSEM, and 3D-OSEM by 8%, 8%, 7% and 3% respectively. Compared to the OS method, the ML method improved the accuracy of coronary flow reserve values of 3DOSEM, 3D-RP, FORE-OSEM and FORE-FBP by 9%, 7%, 1% and 3% respectively. Regression analysis provided better correlation with 3D-OSEM and FORE-OSEM when combined with the ML method. We conclude that the ML method for estimating randoms combined with 3D-OSEM and FORE-OSEM delivers the best performance for absolute quantification of MBF using H2 15O when compared with microsphere measurements.

Paper Details

Date Published: 2 March 2006
PDF: 8 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61424K (2 March 2006); doi: 10.1117/12.652271
Show Author Affiliations
Y. Bouchareb, Imperial College (United Kingdom)
K. Thielemans, Hammersmith Imanet Ltd. (United Kingdom)
T. Spinks, Hammersmith Imanet Ltd. (United Kingdom)
O. Rimoldi, Imperial College (United Kingdom)
P. G. Camici, Imperial College (United Kingdom)


Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

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