Segmentation ciblée d’images IRM et maladie d’Alzheimer

This work covers the current state of the art with regard to approaches to segment subcortical brain structures. A huge range of diverse methods have been presented in the literature during the last decade to segment not only one or a constrained number of structures, but also a complete set of these subcortical regions. Special attention has been paid to atlas based segmentation methods, statistical models and deformable models for this purpose. More recently, the introduction of machine learning techniques, such as artificial neural networks or support vector machines, has helped the researchers to optimize the classification problem. These methods are presented in this work, and their advantages and drawbacks are further discussed. Although these methods have proved to perform well, their use is often limited to those situations where either there are no lesions in the brain or the presence of lesions does not highly vary the brain anatomy. Consequently, the development of segmentation algorithms that can deal with such lesions in the brain and still provide a good performance when segmenting subcortical structures is highly required in practice by some clinical applications, such as radiotherapy or radiosurgery.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Segmentation ciblée d’images IRM et maladie d’Alzheimer

Cited by 3 publications

References 54 publications

Pré-traitement d’un volume IRM par filtrage anisotrope robuste pour la segmentation de l’épaule

Pré-traitement d’un volume IRM par filtrage anisotrope robuste pour la segmentation de l’épaule

Segmentation des IRM cérébrales par une variante bootstrapée du HMRF-EM : étude préliminaire sur fantômes

Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: A survey

Contact Info

Product

Resources

About