SART-Type Image Reconstruction from Overlapped Projections

Compressed Sensing Inspired Image Reconstruction from Overlapped Projections

The key idea discussed in this paper is to reconstruct an image from overlapped projections so that the data acquisition process can be shortened while the image quality remains essentially uncompromised. To perform image reconstruction from overlapped projections, the conventional reconstruction approach (e.g., filtered backprojection (FBP) algorithms) cannot be directly used because of two pr...

SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint

Based on the recent mathematical findings on solving the linear inverse problems with sparsity constraints by Daubechiesx et al., here we adapt a simultaneous algebraic reconstruction technique (SART) for image reconstruction from a limited number of projections subject to a sparsity constraint in terms of an invertible compression transform. The algorithm is implemented with an exemplary Haar ...

Image reconstruction from limited angle projections

A multisource x-ray interior imaging system with limited angle scanning is investigated to study the possibility of building an ultrafast microCT for dynamic small animal imaging, and two methods are employed to perform interior reconstruction from a limited number of projections collected by the multisource interior x-ray system. The first is total variation minimization with the steepest desc...

Image Reconstruction from Projections in Tomography

Image Reconstruction from Incomplete Data