Doctor of Philosophy, The Ohio State University, 2015, Electrical and Computer Engineering

In vivo imaging provides a venue for studying and understanding the biological mechanism of a living system noninvasively. High resolution scanning for MR imaging is practically limited by the length of the scan for in vivo applications. In vivo small animal MRI suffers from subject motion which can degrade image quality with blurring and artifacts. In many small animal imaging studies, multiple imaging views are already obtained as part of the normal workflow but the information taken from one view is not generally combined with that from another view. The main objective of this dissertation is to study the use of multiple imaging views for improving image quality in small animal MR imaging studies. The goal of the study is to evaluate post-processing techniques that could make use of multiple low resolution image acquisitions for increasing resolution in through-plane 3D images and to reduce motion artifacts in in-plane 2D images. Both qualitative and quantitative comparisons are carried out to evaluate the performance of the algorithms and they are demonstrated in in vivo settings.

Committee: Bradley Clymer PhD (Advisor); Kimerly Powell PhD (Advisor); Can Koksal PhD (Committee Member) Subjects: Electrical Engineering