An Automated Method for Segmenting White Matter Lesions through Multi-Level Morphometric Feature Classification with Application to Lupus

We demonstrate an automated, multi-level method to segment white matter brain lesions and apply it to lupus. The method makes use of local morphometric features based on multiple MR sequences, including T1-weighted, T2-weighted, and fluid attenuated inversion recovery. After preprocessing, including...

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Detalles Bibliográficos
Autores principales: Scully, Mark, Anderson, Blake, Lane, Terran, Gasparovic, Charles, Magnotta, Vince, Sibbitt, Wilmer, Roldan, Carlos, Kikinis, Ron, Bockholt, Henry J.
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859868/
https://www.ncbi.nlm.nih.gov/pubmed/20428508
http://dx.doi.org/10.3389/fnhum.2010.00027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859868/
https://www.ncbi.nlm.nih.gov/pubmed/20428508
http://dx.doi.org/10.3389/fnhum.2010.00027

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