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… 
View on IEEE
escholarship.org
15 Citations
Background Citations
3
Methods Citations
5

Figures and Tables from this paper

15 Citations

Citation Type

Citation Type

Comparison of sparse domain approaches for 4D SPECT dynamic image reconstruction
TLDR
The analysis supports the utility of the pre-initialization of a factorization algorithm for better dynamic SPECT image reconstruction and analyzes the convergence properties of SIFADS and FADS using multiple metrics.
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT
TLDR
This paper developed a list mode direct parametric image reconstruction algorithm to substantially reduce noise in MBF quantification using dynamic SPECT and allow for patient radiation dose reduction.
Improved factor analysis of dynamic PET images to estimate arterial input function and tissue curves
TLDR
This work proposes a method of accelerating and stabilizing FADS application to sequences of dynamic PET images by adding preliminary cluster analysis of the time activity curves for individual voxels, and performs direct classification of tissues based on their pharmacokinetic properties in dynamic PET without relying on a compartment-based kinetic model.
Sparse domain approaches in dynamic SPECT imaging with high-performance computing.
TLDR
This work has shown how sparse domain approaches and parallelization for static 3D image reconstruction and 4D dynamic image reconstruction in Single Photon Emission Computed Tomography (SPECT), without any intermediate 3D reconstructions, can improve computational efficiency.
Design of a short nonuniform acquisition protocol for quantitative analysis in dynamic cardiac SPECT imaging — a retrospective 123I‐MIBG animal study
TLDR
A procedure was devised to shorten the acquisition time while maintaining the accuracy and precision of estimated physiologic parameters in dynamic SPECT imaging for 123I‐MIBG cardiac imaging in rat studies and has the potential to be extended to other applications.
Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration.
TLDR
This work develops a technique for a single photon emission computed tomography (SPECT) that reconstructs the distribution of the radiotracer concentration in the myocardium using a tensor product of different sets of basis functions that approximately describe the spatiotemporal variation of the radiation concentration and the motion of the heart.
Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond
TLDR
The XCAT phantoms can provide a virtual patient base from which to quantitatively evaluate and improve imaging instrumentation, data acquisition, techniques, and image reconstruction and processing methods which can lead to improved image quality and more accurate clinical diagnoses.
Robust Unmixing of Dynamic Sequences Using Regions of Interest
TLDR
An unmixing method, based on an objective function minimization and integrating classic regions of interest (ROIs) methods in a different and robust manner is proposed, which promotes consistent solutions regarding ROIs while relaxing the model outside ROIs.
Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition
R-clustering technique for initialization of factor analysis of dynamic PET images
TLDR
The developed method is applied to analyze 11C-PIB dynamic brain PET images acquired to study β-amyloid deposition in brains of Alzheimer patients and uses a concept of representative clustering, when only a small number of the analyzed time series are used for clustering.
...
...

References

SHOWING 1-10 OF 38 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.
...
...