Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Although cerebral edema is a major cause of death and deterioration following hemispheric stroke, there remains no validated biomarker that captures the full spectrum of this critical complication. We recently demonstrated that reduction in intracranial cerebrospinal fluid (CSF) volume (∆CSF) on ser...

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Bibliographic Details
Main Authors: Yasheng Chen, Rajat Dhar, Laura Heitsch, Andria Ford, Israel Fernandez-Cadenas, Caty Carrera, Joan Montaner, Weili Lin, Dinggang Shen, Hongyu An, Jin-Moo Lee
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:NeuroImage: Clinical
Subjects:
Active contour
Cerebral edema
CSF segmentation
Ischemic stroke CT
Mass effect
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158216301760

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http://www.sciencedirect.com/science/article/pii/S2213158216301760

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