title: Spatial resolution and count density requirements in brain SPECT imaging.
abstract: A set of simulations has been performed to investigate the spatial resolution and count density requirements for brain SPECT imaging. Projections were drawn from a matrix representation of the Hoffman brain phantom. These projections were convolved with realistic point spread functions and Poisson noise was added to simulate a wide range of imaging situations normalized to a fixed imaging time. The projections were optimally smoothed with a Wiener filter and were reconstructed with a ramp filter. The quality of the reconstructed images was determined objectively from the normalized mean square between the simulated data and the true distribution. This ranking was validated against the preferences of a group of trained observers. The results from this study indicate that the optimal choice of spatial resolution (collimation) depends on the available count density. As the count density (normalized to 10 mm resolution) increases by a factor of 2.7, results from the simulations indicate that the optimal spatial resolution improves by 1 mm. For brain studies in which the administered activity is limited (such as 123I IMP), the optimal spatial resolution is approximately 8 to 9 mm. With 99Tcm labelled brain agents the amount of administered radioactivity can be increased six-fold and the optimal spatial resolution is predicted to fall to about 6 to 7 mm. If sensitivity is further increased by the use of a dedicated SPECT unit with multiple detectors, the optimal spatial resolution will be on the order of 4 to 5 mm.
authors.affiliation: University of Iowa Hospital and Clinics, Department of Radiology, Iowa City 52242.
authors.forename: M T
authors.initials: MT
authors.lastname: Madsen
authors.forename: W
authors.initials: W
authors.lastname: Chang
authors.forename: R D
authors.initials: RD
authors.lastname: Hichwa
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008961:Models, Structural; D015588:Observer Variation; D012680:Sensitivity and Specificity; D015899:Tomography, Emission-Computed, Single-Photon