Caroline Cao (Committee Member), Arthur Goshtasby (Committee Member), Nasser Kashou (Advisor), Kimerly Powell (Committee Member)
Master of Science in Biomedical Engineering (MSBME)
Assessment of left ventricle volume is usually done for diagnosis and prognosis of heart diseases. Slice-summation method is a standard method used to compute left ventricle volume where region of interest from several short axis (SA) slices are added. There are some limitations to this method, however. It requires short-axis slices to be taken parallel to the mitral valve plane from the base to apex. Moreover, scanning several short-axis slices is a tedious and time consuming process especially for studies that require several hundreds datasets. There are some existing methods to reconstruct left ventricle volume but most of them depend on several SA slices for accuracy. The ones that claim to use fewer slices have complex algorithm that can not be easily implemented and customized to individual's application. This thesis proposes a slice-fitting method that can be implemented using MATLAB's Image Processing Toolbox. The slice-fitting method uses one short-axis slice from the middle region of left ventricle and two orthogonal long axes (sagittal and coronal) slice to estimate volume. The correlation between the volume computed by slice-summation and slice-fitting method is found to be greater than 0.5 and it was when volume estimated by slice-fitting method used only one LA and one SA slice. This report also provides some optimization techniques that can be used to improve the imaging protocol that in turn can make the use of slice-fitting method more efficient.
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
Copyright 2015, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.