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