Document Type

Master's thesis

Date of Degree

2008

Degree Name

MS (Master of Science)

Department

Electrical and Computer Engineering

First Advisor

Gary E. Christensen

Abstract

This thesis work describes a technique to estimate local lung tissue expansion using non-rigid inverse consistent image registration on multiple respiratory-gated CT images of lung acquired at different inflation levels. The information of local lung tissue expansion is revealed by the Jacobian of transformation, intensity-based specific volume change, and strain resulted from the registration displacement field. Comparisons between the registration-derived regional lung expansion estimates and xenon CT-derived regional ventilation measure on six sheep at supine position were made to validate the estimates based on registration and find the suitable inflation level change to characterize the lung expansion using this technique.

Pages

vii, 76

Bibliography

74-76

Copyright

Copyright 2008 Kunlin Cao