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Hemodynamic Segmentation of Brain Perfusion Images with Delay and Dispersion Effects Using an Expectation-Maximization Algorithm

Automatic identification of various perfusion compartments from dynamic susceptibility contrast magnetic resonance brain images can assist in clinical diagnosis and treatment of cerebrovascular diseases. The principle of segmentation methods was based on the clustering of bolus transit-time profiles...

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Detalles Bibliográficos
Autores principales:	Lu, Chia-Feng, Guo, Wan-Yuo, Chang, Feng-Chi, Huang, Shang-Ran, Chou, Yen-Chun, Wu, Yu-Te
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716889/ https://www.ncbi.nlm.nih.gov/pubmed/23894386 http://dx.doi.org/10.1371/journal.pone.0068986

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