A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages

A knowledge-driven algorithm for a rapid, robust, accurate, and automatic extraction of the human cerebral ventricular system from MR neuroimages is proposed. Its novelty is in combination of neuroanatomy, radiological properties, and variability of the ventricular system with image processing techn...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2004, Vol.21 (1), p.269-282
Hauptverfasser:	Xia, Yan, Hu, Qingmao, Aziz, Aamer, Nowinski, Wieslaw L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Algorithms Artificial Intelligence Brain Brain - pathology Brain Neoplasms - diagnosis Cerebral Ventricles - pathology Child Computer Simulation Datasets Diagnosis, Computer-Assisted - methods Extraction Female Fuzzy sets Humans Hydrocephalus - diagnosis Image Enhancement - methods Image Processing, Computer-Assisted - methods Knowledge Magnetic Resonance Imaging - methods Male Mathematical Computing MRI Neuroimaging Phantoms, Imaging Reference Values Sensitivity and Specificity Software Ventricular system
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