Automated Segmentation of Head Computed Tomography Images Using FSL
Volume: 42, Issue: 1, Pages: 104 - 110
Published: Jan 1, 2018
Abstract
The aim of this study was to investigate the use of one magnetic resonance image-processing tool, FSL, in its ability to perform automated segmentation of computed tomographic images of the brain.Head computed tomography (CT) images were brain extracted and segmented using the FSL tools BET and FAST, respectively. The products of segmentation were analyzed by histogram. The impact of image intensity inhomogeneity correction was investigated...
Paper Details
Title
Automated Segmentation of Head Computed Tomography Images Using FSL
Published Date
Jan 1, 2018
Volume
42
Issue
1
Pages
104 - 110
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