test Browse by Author Names Browse by Titles of Works Browse by Subjects of Works Browse by Issue Dates of Works
       

Advanced Search
Home   
 
Browse   
Communities
& Collections
  
Issue Date   
Author   
Title   
Subject   
 
Sign on to:   
Receive email
updates
  
My Account
authorized users
  
Edit Profile   
 
Help   
About T-Space   

T-Space at The University of Toronto Libraries >
School of Graduate Studies - Theses >
Master >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/25610

Title: Characterizing the Effects of Respiratory Motion on Pulmonary Nodule-like Objects in Computed Tomography
Authors: Hamilton, Michael
Advisor: Easty, Anthony
Rice, Murray
Department: Biomedical Engineering
Keywords: Computed Tomography
Pulmonary Nodule
Moition Artifact
Issue Date: 1-Jan-2011
Abstract: Lung nodule volumetry is used to diagnose the likelihood of malignancy in nodules detected during thoracic CT scans. These measurements are unreliable when the patient is subject to respiratory motion. We seek to understand the relationship between reconstructed images and the actual size of nodules subject to motion induced by quiet breathing. CT images of solid spheres of varying size and composition were acquired while travelling through a known path to approximate the motion of a pulmonary nodule during respiration. The measured size of the sphere’s image was found to increase non-linearly with speed. However, these relationships were dependent on the CT number of the sphere and the reconstruction filter used to generate the image. From these results we expect that for a specific CT number we can estimate the size of an object from a CT image if the speed of the object at the time of the scan is known.
URI: http://hdl.handle.net/1807/25610
Appears in Collections:Master
Institute of Biomaterials and Biomedical Engineering - Master theses

Files in This Item:

File Description SizeFormat
Hamilton_Michael_201011_MHSc_thesis.pdf1.23 MBAdobe PDF
View/Open

Items in T-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

uoft