Automated segmentation of 7 tesla MRI
Karstens Vingara, Lisa
2013

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Abstract

Magnetic Resonance Imaging (MRI) allows for the noninvasive exploration of animal and human anatomy. The focus of this project was to evaluate automatic segmentation routines on magnetic resonance images acquired at 7 Tesla. The first part of this capstone introduces the basic concepts of Magnetic Resonance Imaging (MRI) and ultra-high magnetic fields. The second part focuses on specific automated segmentation methods and their application to ultra-high field MRI data.

Details

Title
Automated segmentation of 7 tesla MRI
Creator
Karstens Vingara, Lisa : Oregon Health and Science University
Contributor
Rooney, William Mentor (Oregon Health and Science University)
Boudreau, Eilis Advisor (Oregon Health and Science University)
Publisher
Oregon Health and Science University
Date
2013
Subjects
DOI
https://doi.org/10.6083/M4RN35W2
Content Type
Capstone
Degree Type
M.B.I.
Academic Program
Biomedical Informatics
Department
Department of Medical Informatics and Clinical Epidemiology
School
School of Medicine
Copyright Status
Usage Statement
Record ID
974
Record Created
2023-06-29
Record Appears in
Organizations > Departments and Divisions > School of Medicine Clinical Sciences Departments and Divisions > Department of Medical Informatics and Clinical Epidemiology
OHSU Works > Student Work > Degrees > Master in Biomedical Informatics (M.B.I.)
Organizations > Schools > School of Medicine
OHSU Works > Student Work > Capstones
Biomedical Informatics
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