A qualitative and quantitative assessment of the impact of three processing algorithms with halving of study count statistics in myocardial perfusion imaging: filtered backprojection, maximal likelihood expectation maximisation and ordered subset expectation maximisation with resolution recovery

Ordered subset expectation maximisation with depth-dependent resolution recovery (OSEM-RR) is a processing algorithm reported to improve images with halved tracer activity in myocardial perfusion scintigraphy (MPS) compared to filtered backprojection (FBP) using conventional activities. OSEM-RR has...

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Bibliographic Details
Published in:	Journal of nuclear cardiology Vol. 19; no. 5; pp. 945 - 957
Main Authors:	Modi, B.N., Brown, J.L.E., Kumar, G., Driver, R.M., Kelion, A.D., Peters, A.M., Fowler, J.C.
Format:	Journal Article
Language:	English
Published:	New York Elsevier Inc 01-10-2012 Springer-Verlag Springer Nature B.V
Subjects:	Adult Aged Aged, 80 and over Algorithms Cardiology Female Humans image processing Image Processing, Computer-Assisted image quality Image reconstruction Imaging Likelihood Functions Male Medicine Medicine & Public Health Middle Aged Myocardial Perfusion Imaging - methods myocardial perfusion imaging: SPECT Nuclear Medicine Original Article Phantoms, Imaging Radiology tetrofosmin image processing image quality myocardial perfusion imaging: SPECT Image reconstruction tetrofosmin
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Summary:	Ordered subset expectation maximisation with depth-dependent resolution recovery (OSEM-RR) is a processing algorithm reported to improve images with halved tracer activity in myocardial perfusion scintigraphy (MPS) compared to filtered backprojection (FBP) using conventional activities. OSEM-RR has not yet been compared with maximal likelihood expectation maximisation (MLEM). 39 patients undergoing MPS and two anthropomorphic phantoms (one with, one without an inferior wall insert) had full-time (FT) and half-time (HT) SPECT datasets acquired simultaneously and processed by FBP, MLEM and OSEM-RR. Two experienced reporters scored images of all clinical studies (n=234) for conspicuity of a perfusion defect, with results being compared using Wilcoxon paired and Kappa tests. A quantitative assessment based on mean segmental pixel counts taken from numbers automatically displayed over the 20 segments of Cedars Sinai Autoquant QPS image were compared using Pearson’s correlation and Bland Altman analysis. A small but consistent superior concurrence between FT and HT datasets for OSEM-RR compared to FBP and MLEM was observed for both qualitative and quantitative analyses. OSEM-RR resulted in better definition of the inferior wall defect on the phantom study. OSEM-RR appears superior to both FBP and MLEM in terms of handling reduced count statistics.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1071-3581 1532-6551
DOI:	10.1007/s12350-012-9575-0