title: Characterization of simulated incident scatter and the impact on quantification in dedicated breast single-photon emission computed tomography.
abstract: The objective was to characterize the changes seen from incident Monte Carlo-based scatter distributions in dedicated three-dimensional (3-D) breast single-photon emission computed tomography, with emphasis on the impact of scatter correction using the dual-energy window (DEW) method. Changes in scatter distributions with 3-D detector position were investigated for prone breast imaging with an ideal detector. Energy spectra within a high-energy scatter window measured from simulations were linearly fit, and the slope was used to characterize scatter distributions. The impact of detector position on the measured scatter fraction within various photopeak windows and the [Formula: see text] value (ratio of scatter within the photopeak and scatter energy windows) useful for scatter correction was determined. Results indicate that application of a single [Formula: see text] value with the DEW method in the presence of anisotropic object scatter distribution is not appropriate for trajectories including the heart and liver. The scatter spectra's slope demonstrates a strong correlation to measured [Formula: see text] values. Reconstructions of fixed-tilt 3-D acquisition trajectories with a single [Formula: see text] value show quantification errors up to 5% compared to primary-only reconstructions. However, a variable-tilt trajectory provides improved sampling and minimizes quantification errors, and thus allows for a single [Formula: see text] value to be used with the DEW method leading to more accurate quantification.
authors.affiliation: Duke University , Medical Physics Graduate Program, 2424 Erwin Road, Suite 101, Durham, North Carolina 27705, United States.
authors.forename: Steve D
authors.initials: SD
authors.lastname: Mann
authors.affiliation: Duke University, Medical Physics Graduate Program, 2424 Erwin Road, Suite 101, Durham, North Carolina 27705, United States; Duke University, Department of Biomedical Engineering, Durham, North Carolina 27709, United States; Duke University Medical Center, Department of Radiology, Durham, North Carolina 27710, United States.
authors.forename: Martin P
authors.initials: MP
authors.lastname: Tornai
keywords: Monte Carlo; dual-energy window; molecular breast imaging; scatter; single-photon emission computed tomography
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