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University of Illinois at Urbana-Champaign

Information -Theoretic Approach to Deformable Image Transformations With Application to Brain Image Segmentation

Abstract

dc:description

This method has been experimentally validated using synthetic, magnetic resonance, and cryosection images. It is also incorporated into a brain image segmentation method under development at the University of Illinois. Potential applications include image segmentation, functional brain mapping, and automatic target recognition.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Skouson, Mark Brown
Contributors dc:contributor
  • Liang, Zhi-Pei

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9990142
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81358

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Skouson, Mark Brown. Information -Theoretic Approach to Deformable Image Transformations With Application to Brain Image Segmentation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81358