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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Lu, Chia-Feng, Guo, Wan-Yuo, Chang, Feng-Chi, Huang, Shang-Ran, Chou, Yen-Chun, Wu, Yu-Te
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Public Library of Science 2013
Θέματα:
Διαθέσιμο Online: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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