Reconstruction of 4-D Dynamic SPECT Images From Inconsistent Projections Using a Spline Initialized FADS Algorithm (SIFADS)

@article{Abdallah2015ReconstructionO4,
  title={Reconstruction of 4-D Dynamic SPECT Images From Inconsistent Projections Using a Spline Initialized FADS Algorithm (SIFADS)},
  author={Mahmoud Abdallah and Rostyslav Boutchko and Debasis Mitra and Grant T. Gullberg},
  journal={IEEE Transactions on Medical Imaging},
  year={2015},
  volume={34},
  pages={216-228}
}
In this paper, we propose and validate an algorithm of extracting voxel-by-voxel time activity curves directly from inconsistent projections applied in dynamic cardiac SPECT. The algorithm was derived based on factor analysis of dynamic structures (FADS) approach and imposes prior information by applying several regularization functions with adaptively changing relative weighting. The anatomical information of the imaged subject was used to apply the proposed regularization functions adaptively… 
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References

SHOWING 1-10 OF 37 REFERENCES
Direct least-squares estimation of spatiotemporal distributions from dynamic SPECT projections using a spatial segmentation and temporal B-splines
TLDR
A preliminary study of spatial segmentation errors showed that spatial model mismatch adversely affected quantitative accuracy, but also resulted in structured errors that were easily detected in the authors' simulations, suggesting iterative refinement of the spatial model to reduce structured errors as an area of future research.
Fast direct estimation of the blood input function and myocardial time activity curve from dynamic SPECT projections via reduction in spatial and temporal dimensions.
TLDR
This work presents a novel algorithm for the estimation of the blood input function and myocardial TAC with high accuracy and high efficiency directly from these projections using the 4D maximum likelihood expectation maximization algorithm.
Segmentation-based regularization of dynamic SPECT reconstruction
TLDR
This paper incorporates a user-assisted segmentation algorithm (Saad et al. 2008) into the reconstruction process to improve the results of dynamic SPECT reconstruction, and improves TAC quality within ROIs, as well as image contrast.
Effects of temporal modeling on the statistical uncertainty of spatiotemporal distributions estimated directly from dynamic SPECT projections
Artifacts can result when reconstructing a dynamic image sequence from inconsistent single photon emission computed tomography (SPECT) projection data acquired by a slowly rotating gantry. The…
Effects of temporal modelling on the statistical uncertainty of spatiotemporal distributions estimated directly from dynamic SPECT projections
Artefacts can result when reconstructing a dynamic image sequence from inconsistent single photon emission computed tomography (SPECT) projection data acquired by a slowly rotating gantry. The…
Slow-rotation dynamic SPECT with a temporal second derivative constraint.
TLDR
The d2EM method is successful in improving the smoothness of time activity curves obtained from the reconstruction, as well as improving consistency of TAC shapes within ROIs.
Analytic and iterative reconstruction algorithms in SPECT.
  • P. Bruyant
  • Mathematics
    Journal of nuclear medicine : official publication, Society of Nuclear Medicine
  • 2002
TLDR
A general overview of analytic and iterative methods of reconstruction in SPECT is presented with a special focus on filter backprojection (FBP), conjugate gradient, maximum likelihood expectation maximization, and maximum a posteriori expectation maximizations algorithms.
Performance evaluation of an iterative image reconstruction algorithm for positron emission tomography.
TLDR
The authors set up a discrete model to represent the physical situation and arrive at a nonlinear maximum a posteriori probability (MAP) formulation of the problem and present a methodology which allows them to experimentally optimize an image reconstruction method for a specific medical task.
Effects of attenuation in single slow rotation dynamic SPECT
TLDR
New analysis is presented indicating that modeling attenuation in the system matrix, although sufficient for AC in conventional SPECT imaging, does not properly account for attenuation effects when reconstructing a dynamic image from data acquired with a single slow rotation.
Spatiotemporal reconstruction of list-mode PET data
TLDR
A method for computing a continuous time estimate of tracer density using list-mode positron emission tomography data using an inhomogeneous Poisson process whose rate function can be represented using a cubic B-spline basis is described.
...
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