Title
Automated Methods for Hippocampus Segmentation: the Evolution and a Review of the State of the Art.
Abstract
The segmentation of the hippocampus in Magnetic Resonance Imaging (MRI) has been an important procedure to diagnose and monitor several clinical situations. The precise delineation of the borders of this brain structure makes it possible to obtain a measure of the volume and estimate its shape, which can be used to diagnose some diseases, such as Alzheimer’s disease, schizophrenia and epilepsy. As the manual segmentation procedure in three-dimensional images is highly time consuming and the reproducibility is low, automated methods introduce substantial gains. On the other hand, the implementation of those methods is a challenge because of the low contrast of this structure in relation to the neighboring areas of the brain. Within this context, this research presents a review of the evolution of automatized methods for the segmentation of the hippocampus in MRI. Many proposed methods for segmentation of the hippocampus have been published in leading journals in the medical image processing area. This paper describes these methods presenting the techniques used and quantitatively comparing the methods based on Dice Similarity Coefficient. Finally, we present an evaluation of those methods considering the degree of user intervention, computational cost, segmentation accuracy and feasibility of application in a clinical routine.
Year
DOI
Venue
2015
10.1007/s12021-014-9243-4
Neuroinformatics
Keywords
Field
DocType
Hippocampus segmentation, Magnetic resonance imaging, Neuroimaging, Segmentation methods, Medical images, Evaluation of segmentation, Alzheimer’s disease
Brain mapping,Computer vision,Segmentation,Computer science,Image processing,Artificial intelligence,Neuroimaging,Hippocampus,Machine learning,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
13
2
1559-0089
Citations 
PageRank 
References 
12
0.53
61
Authors
3
Name
Order
Citations
PageRank
Vanderson Dill1211.49
Alexandre R. Franco2303.12
Márcio Sarroglia Pinho3259.06