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Permanent link (DOI): https://doi.org/10.7939/R3ZK55V4H

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ATLAS TO PATIENT REGISTRATION WITH BRAIN TUMOR BASED ON A NEW MESH-FREE METHOD Open Access

Descriptions

Other title
Subject/Keyword
Brain Atlas Registration
Mesh-free Method
Brain Tumor
Tumor Grwoth Simulation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Diaz, Idanis Beatriz
Supervisor and department
Boulanger, Pierre (Computing Science)
Examining committee member and department
Dana Cobzas (Computing Science)
Russell Greiner (Computing Science)
Roy Eagleson ( Faculty of Engineering - University of Western Ontario)
Carey Jason (Mechanical Engineering)
Department
Department of Computing Science
Specialization

Date accepted
2015-07-23T15:42:21Z
Graduation date
2015-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
An atlas is an anatomical representation containing all brain structures well identified in a stereotaxic space from a single subject or a population. Atlases provide information about the organization and localization of the different brain tissues. One may take advantage of this well-organized information for the analysis and processing of a patient’s image by warping the atlas to the patient’s image, and establishing a one-to-one correspondence between the two images. This process is also known as atlas to patient’s image registration and is quite useful for brain tissues segmentation and registering different images to a common reference space. Also, a registered atlas is a model of the patient that can be used for simulation of medical procedures, such as recession and needle insertions. In the presence of brain tumors, the task of atlas to a patient’s image registration become more challenging because tumors deform the brain structures and cause intensity variations in the affected areas, augmenting the dissimilarity between the atlas and patient images. As a consequence, most of the deformable registration based on intensity or shape similarities between images fail in this cases. In order to overcome this issue, some methods involve the use of bio-mechanical models to simulate the tumor’s mass-effect and, in this way, can simulate realistic deformation of the brain structure in the atlas according to the patient’s image. However, these approaches have some weaknesses, mainly related to the assumption of a spherical tumor growth model, the use of Finite Element Method to simulate large deformations, and the computational time that they require. We propose a new approach for atlas to patient’s image registration with tumor based on bio-mechanical deformation of the brain. Contrary to other approaches, our method simulates tumor growth with irregular shape by segmenting from the multi-modal magnetic resonance images of a specific patient. We have developed a totally new mesh free method for the bio-mechanical deformation avoiding the limitations of traditional finite element methods. Experimental results look structurally very similar to the patient’s image and outperform two of the top ranking algorithms.
Language
English
DOI
doi:10.7939/R3ZK55V4H
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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