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ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA


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Title: ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
Other Titles: ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
Authors: Johansson, Frida
Issue Date: 13-Jan-2022
Degree: Student essay
Keywords: Medical physics
Anatomical segmentation
Brain
MRI
7 Tesla
Pincram
MAPER
Shape based averaging
Ultrahigh resolution
Abstract: Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make adaptations to deal with the potential challenges and evaluate the quality of the anatomical segmentations of the 7- Tesla images. Materials: A dataset of MR brain images with various resolutions (1mm, 500 m, 250 m non averaged & 250 m averaged) shared by Lüsebrink et al... more
URI: http://hdl.handle.net/2077/70341
Appears in Collections:Masteruppsatser / Medicinsk strålningsvetenskap

 

 

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