Share Email Print
cover

Journal of Medical Imaging

Characterization of simulated incident scatter and the impact on quantification in dedicated breast single-photon emission computed tomography
Author(s): Steve D. Mann; Martin P. Tornai
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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 k value (ratio of scatter within the photopeak and scatter energy windows) useful for scatter correction was determined. Results indicate that application of a single k 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 k values. Reconstructions of fixed-tilt 3-D acquisition trajectories with a single k 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 k value to be used with the DEW method leading to more accurate quantification.

Paper Details

Date Published: 21 September 2015
PDF: 13 pages
J. Med. Img. 2(3) 033504 doi: 10.1117/1.JMI.2.3.033504
Published in: Journal of Medical Imaging Volume 2, Issue 3
Show Author Affiliations
Steve D. Mann, Duke Univ. (United States)
Martin P. Tornai, Duke Univ. School of Medicine (United States)
Duke Univ. (United States)


© SPIE. Terms of Use
Back to Top