TY  - GEN
AB  - 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.
AD  - Oregon Health and Science University
AU  - Karstens Vingara, Lisa
DA  - 2013
DO  - 10.6083/M4RN35W2
DO  - DOI
ED  - Rooney, William
ED  - Boudreau, Eilis
ED  - Mentor
ED  - Advisor
ID  - 974
KW  - Electronic Data Processing
KW  - Magnetic Resonance Imaging
KW  - Image Processing, Computer-Assisted
L1  - https://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
N2  - 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.
PB  - Oregon Health and Science University
PY  - 2013
T1  - Automated segmentation of 7 tesla MRI
TI  - Automated segmentation of 7 tesla MRI
UR  - https://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
Y1  - 2013
ER  -