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The new generation of dedicated cardiac SPECT systems achieve high detection efficiency by focusing onto a small field of view (FOV) that encloses a patient's heart. They also generally use a relatively small number of views for angular sampling. The objective of this study is to use simulations to investigate the relationship between number of views and image quality when iterative reconstruction...
Sparse optimization in overcomplete frames has been widely applied in recent years to ill-conditioned inverse problems. In particular, analysis-based sparse optimization consists of achieving a certain trade-off between fidelity to the observation and sparsity in a given linear representation, typically measured by some ??p quasi-norm. Whereas most popular choice for p is 1 (convex optimization case),...
This work addresses theoretical advances classical (2D) tomographic image reconstruction. During the past several years, inversion formulas have been established that allow ROI reconstruction from incomplete (yet sufficient) data. Such reconstructions have important consequences in certain practical situations, such as truncated projections. The precise relationship between the largest ROI that can...
Iterative reconstruction (IR) has recently been proposed to improve multiple aspects of image quality over conventional filtered backprojection (FBP) in X-ray computed tomography (CT). FBP reconstruction and its corresponding reconstruction kernels have been optimized for decades to provide the best possible image quality. IR does not have the notion of reconstruction kernels but uses other mechanisms...
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