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16 March 2007Implementation of a fully 3D system model for brain SPECT with fan- beam-collimator OSEM reconstruction with 3D total variation regularization
In order to improve tomographically reconstructed image quality, we have implemented a fully 3D reconstruction, using
an ordered subsets expectation maximization (OSEM) algorithm for fan-beam collimator (FBC) SPECT, along with a
volumetric system model-fan-volume system model (FVSM), a modified attenuation compensation, a 3D depth- and
angle-dependent resolution and sensitivity correction, and a 3D total variation (TV) regularization. SPECT data were
acquired in a 128x64 matrix, in 120 views with a circular orbit. The numerical Zubal brain phantom was used to
simulate a FBC HMPAO Tc-99m brain SPECT scan, and a low noise and scatter-free projection dataset was obtained
using the SimSET Monte Carlo package. A SPECT scan for a mini-Defrise phantom and brain HMPAO SPECT scans
for five patients were acquired with a triple-head gamma camera (Triad 88) equipped with a low-energy high-resolution
(LEHR) FBC. The reconstructed images, obtained using clinical filtered back projection (FBP), OSEM with a line-length
system model (LLSM) and 3D TV regularization, and OSEM with FVSM and 3D TV regularization were
quantitatively studied. Overall improvement in the image quality has been observed, including better axial and transaxial
resolution, better integral uniformity, higher contrast-to-noise ration between the gray matter and the white matter, and
better accuracy and lower bias in OSEM-FVSM, compared with OSEM-LLSM and clinical FBP.
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Hongwei Ye, Andrzej Krol, Edward D. Lipson, Yao Lu, Yuesheng Xu, Wei Lee, David H. Feiglin, "Implementation of a fully 3D system model for brain SPECT with fan-beam-collimator OSEM reconstruction with 3D total variation regularization," Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 65104T (16 March 2007); https://doi.org/10.1117/12.709560