Optimization-Based Image Reconstruction From Fast-Scanned, Noisy Projections in EPR Imaging

Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections

The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF). We have extended this work to be capable of simultaneously reconstructing and segmenting images that have been observed only through noisy projections. The noise added to each projection depends on the classes of the ...

Image Reconstruction from Projections in Tomography

Fast Reconstruction from Random Incoherent Projections

The Compressed Sensing paradigm consists of recovering signals that can be sparsely represented in a given basis from a small set of projections into random vectors; the problem is typically solved using an adapted Basis Pursuit algorithm. We show that the recovery of the signal is equivalent to determining the sparsest representation of the measurement vector using the dictionary obtained by a...

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...

Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study

Although Computed Tomography (CT) is a mature discipline, the development of techniques that will further reduce radiation dose are still essential. This paper makes steps towards projection and reconstruction methods which aim to assist in the reduction of this dosage, by studying the way noise propagates from projection space to image space. Inference methods Maximum Likelihood Estimation (ML...