Date of Award
Winter 12-15-2015
Degree Name
Master of Science (MS)
Degree Type
Thesis
Abstract
Conventional methods of estimating deformation optically often compare image intensities before and after deformation to help estimate the strain fields. However, these current meth ods often introduce undesirable error that propagates through the system, growing larger through each strain calculation. These errors create false, concentrated regions of strain throughout the image. Additionally, gathering and evaluating images in three- and four dimensional space creates even more difficulty for conventional methods. Here, by imple menting new techniques of gathering four-dimensional ultrasound data sets and calculating deformation fields with traditional errors reduced three-fold, four-dimensional images were evaluated to create a novel visualization tool used for representing the strains in a four dimensional modeling world. In general, this computer program has applications across a wide range of disciplines.
Language
English (en)
Chair
Dr. Phil Bayly
Committee Members
Dr. Guy Genin, Dr. Robert Pless, Dr. Srikanth Singamaneni
Comments
Permanent URL: https://doi.org/10.7936/K7D50K7V