Paper Info
Title
Grey-Level Morphology Based Segmentation of T1-MRI of the Human Cortex
Abstract
In this paper an algorithm for fully automatic segmentation of the cortex from T1-weighted transversal, coronal or sagittal MRI data is presented. A histogram-based method is used to find accurate threshold values. Four initial masks are generated, containing background, brain tissue, 3D grey-level eroded brain tissue and 3D grey-level dilated surrounding fat. Information from previous slices are used to avoid leaking from non-brain tissue.
Year
DOI
Venue
2001
10.1007/3-540-45468-3_233
MICCAI
Keywords
Field
DocType
previous slice,non-brain tissue,brain tissue,grey-level morphology,t1-weighted transversal,initial mask,automatic segmentation,accurate threshold value,sagittal mri data,human cortex,histogram-based method
Cortex (botany),Computer vision,Histogram,Coronal plane,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Sagittal plane,Brain tissue
Conference
ISBN
Citations 
PageRank 
3-540-42697-3
4
0.97
References 
Authors
3
2
Name
Order
Citations
PageRank
Roger Hult141.98
ewert bengtsson213525.36