ObjectiveThe present study is aimed at contributing to identify the most appropriate OSEM
parameters to generate myocardial perfusion imaging reconstructions with the best
diagnostic quality, correlating them with patients’ body mass index.Materials and MethodsThe present study included 28 adult patients submitted to myocardial perfusion
imaging in a public hospital. The OSEM method was utilized in the images
reconstruction with six different combinations of iterations and subsets numbers.
The images were analyzed by nuclear cardiology specialists taking their diagnostic
value into consideration and indicating the most appropriate images in terms of
diagnostic quality.ResultsAn overall scoring analysis demonstrated that the combination of four iterations
and four subsets has generated the most appropriate images in terms of diagnostic
quality for all the classes of body mass index; however, the role played by the
combination of six iterations and four subsets is highlighted in relation to the
higher body mass index classes.ConclusionThe use of optimized parameters seems to play a relevant role in the generation of
images with better diagnostic quality, ensuring the diagnosis and consequential
appropriate and effective treatment for the patient.
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