Date of Award
Master of Science (MS)
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.
Dr. Phil Bayly
Dr. Guy Genin, Dr. Robert Pless, Dr. Srikanth Singamaneni