Paper Info
Title
Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL - A Quantitative Approach
Abstract
Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to start and guide the segmentation process. In many cases, the quality of the atlas may have a significant effect in the final result. In the literature, commonly used atlases may be obtained from one subject’s data, only from the healthy, or depict only certain structures that limit their accuracy. Anatomical variations, pathologies, imaging artifacts all could aggravate the problems related to application of atlases. In this paper, we propose to use multiple atlases that are sufficiently different from each other as much as possible to handle such problems. To this effect, we have built a library of atlases and computed their similarity values to each other. Our study showed that the existing atlases have varying levels of similarity for different structures.
Year
DOI
Venue
2010
10.1109/ICPR.2010.635
ICPR
Keywords
Field
DocType
mr image,certain structure,brain mr,anatomical variation,disease progress,different structure,quantitative approach,segmentation process,existing atlas,significant effect,similarity value,brain structure,anatomical structures,accuracy,correlation,hippocampus,probabilistic logic,segmentation,image segmentation
Computer vision,Treatment monitoring,Pattern recognition,Segmentation,Computer science,Image segmentation,Artificial intelligence,Anatomical structures,Probabilistic logic,Patient treatment
Conference
Citations 
PageRank 
References 
1
0.35
4
Authors
10
Name
Order
Citations
PageRank
Octavian Soldea115011.96
Ahmet Ekin28212.08
Diana F. Soldea310.35
Devrim Unay46910.38
Mujdat Cetin518117.70
Aytul Ercil617715.16
Mustafa Gokhan Uzunbas710.35
Zeynep Firat892.52
Mutlu Cihangiroglu910.35
The Alzheimers Disease Neuroimaging Initiative1010.35