title: Resolution improvement and noise reduction in human pinhole SPECT using a multi-ray approach and the SHINE method.
abstract: OBJECTIVE
  This work aimed at quantifying the gains in spatial resolution and noise that could be achieved when using resolution modelling based on a multi-ray approach and additionally the Statistical and Heuristic Noise Extraction (SHINE) method in human pinhole single photon emission tomography (PH-SPECT).
  
  
  METHODS
  PH-SPECT of two line phantoms and one homogeneous cylinder were recorded using parameters suited for studies of the human neck area. They were reconstructed using pinhole dedicated ordered subsets expectation maximisation algorithm including a resolution recovery technique based on 7 or 21 rays. Optionally, the SPECT data were SHINE pre-processed. Transverse and axial full widths at half-maximum (FWHM) were obtained from the line phantoms. The noise was quantified using the coefficient of variation (COV) derived from the uniform phantom. Two human PH-SPECT studies of the thyroid (a hot nodule and a very low uptake) were processed with the same algorithms.
  
  
  RESULTS
  Depending on the number of iterations, FWHM decreased by 30 to 50% when using the multi-ray approach in the reconstruction process. The SHINE method did not affect the resolution but decreased the COV by at least 20% and by 45% when combined with the multi-ray method. The two human studies illustrated the gain in spatial resolution and the decrease in noise afforded both by the multi-ray reconstruction and the SHINE method.
  
  
  CONCLUSIONS
  Iterative reconstruction with resolution modelling allows to obtain high resolution human PH-SPECT studies with reduced noise content. The SHINE method affords an additional noise reduction without compromising the resolution.
authors.affiliation: Imagerie médicale expérimentale, Université de Liège, Institut de Physique, Liège, Belgium. aseret@ulg.ac.be
authors.forename: A
authors.initials: A
authors.lastname: Seret
authors.forename: C
authors.initials: C
authors.lastname: Vanhove
authors.forename: M
authors.initials: M
authors.lastname: Defrise
mesh_terms: D002197:Capillary Action; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods*