000000974 001__ 974
000000974 005__ 20250305154908.0
000000974 0247_ $$2DOI$$a10.6083/M4RN35W2
000000974 037__ $$aETD
000000974 245__ $$aAutomated segmentation of 7 tesla MRI
000000974 260__ $$bOregon Health and Science University
000000974 269__ $$a2013
000000974 336__ $$aCapstone
000000974 502__ $$bM.B.I.
000000974 502__ $$gBiomedical Informatics
000000974 520__ $$aMagnetic 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.
000000974 540__ $$fCC BY
000000974 542__ $$fIn copyright - single owner
000000974 650__ $$aElectronic Data Processing$$015239
000000974 650__ $$aMagnetic Resonance Imaging$$021747
000000974 650__ $$aImage Processing, Computer-Assisted$$020650
000000974 691__ $$aSchool of Medicine$$041369
000000974 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000000974 7001_ $$aKarstens Vingara, Lisa$$uOregon Health and Science University$$041354
000000974 7201_ $$aRooney, William$$uOregon Health and Science University$$041354$$7Personal$$eMentor
000000974 7201_ $$aBoudreau, Eilis$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000974 8564_ $$9723617d1-2039-4df3-96bf-2d5a1c948f97$$s2087672$$uhttps://digitalcollections.ohsu.edu/record/974/files/977_etd.pdf
000000974 905__ $$a/rest/prod/rj/43/04/60/rj430460z
000000974 909CO $$ooai:digitalcollections.ohsu.edu:974$$pstudent-work
000000974 980__ $$aBiomedical Informatics