title: Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach.
abstract: OBJECTIVE
  The 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.
  
  
  METHODS
  The 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.
  
  
  RESULTS
  An 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.
  
  
  CONCLUSIONS
  The 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.
authors.affiliation: Radiology Technologist at Clínica Imagem Centro de Diagnóstico, Graduated at Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (IFSC), Florianópolis, SC, Brazil.
authors.forename: Pietro Paolo
authors.initials: PP
authors.lastname: de Barros
authors.affiliation: Master, Nuclear Medicine Technologist, Professor at Escola Superior de Tecnologia em Saúde do Porto - Instituto Politécnico do Porto (ESTSP-IPP), Porto, Portugal.
authors.forename: Luis F
authors.initials: LF
authors.lastname: Metello
authors.affiliation: PhD, Professor at Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (IFSC), Florianópolis, SC, Brazil.
authors.forename: Tatiane Sabriela Cagol
authors.initials: TS
authors.lastname: Camozzato
authors.affiliation: Fellow Master degree of Medical Information Technology, School of Medicine - Universidade do Porto (FMUP), Professor at Escola Superior de Tecnologia da Saúde do Porto - Instituto Politécnico do Porto (ESTSP-IPP), Porto, Portugal.
authors.forename: Domingos Manuel da Silva
authors.initials: DM
authors.lastname: Vieira
keywords: Image reconstruction; Iterative methods; Myocardial perfusion imaging; Nuclear cardiology; Nuclear medicine