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Reconstruction Algorithms For Novel Joint Imaging Techniques In Pet, Homayoon Ranjbar
Reconstruction Algorithms For Novel Joint Imaging Techniques In Pet, Homayoon Ranjbar
McKelvey School of Engineering Theses & Dissertations
Positron emission tomography (PET) is an important functional in vivo imaging modality with many clinical applications. Its enormously wide range of applications has made both research and industry combine it with other imaging modalities such as X-ray computed tomography (CT) or magnetic resonance imaging (MRI). The general purpose of this work is to study two cases in PET where the goal is to perform image reconstruction jointly on two data types.
The first case is the Beta-Gamma image reconstruction. Positron emitting isotopes, such as 11C, 13N, and 18F, can be used to label molecules, and tracers, such …
An Improved Algorithm For Learning To Perform Exception-Tolerant Abduction, Mengxue Zhang
An Improved Algorithm For Learning To Perform Exception-Tolerant Abduction, Mengxue Zhang
McKelvey School of Engineering Theses & Dissertations
Abstract
Inference from an observed or hypothesized condition to a plausible cause or explanation for this condition is known as abduction. For many tasks, the acquisition of the necessary knowledge by machine learning has been widely found to be highly effective. However, the semantics of learned knowledge are weaker than the usual classical semantics, and this necessitates new formulations of many tasks. We focus on a recently introduced formulation of the abductive inference task that is thus adapted to the semantics of machine learning. A key problem is that we cannot expect that our causes or explanations will be perfect, …