Automated volumetric evaluation of intracranial compartments and cerebrospinal fluid distribution on emergency trauma head CT scans to quantify mass effect

Automated volumetric evaluation of intracranial compartments and cerebrospinal fluid distribution on emergency trauma head CT scans to quantify mass effect

BackgroundIntracranial space is divided into three compartments by the falx cerebri and tentorium cerebelli. We assessed whether cerebrospinal fluid (CSF) distribution evaluated by a specifically developed deep-learning neural network (DLNN) could assist in quantifying mass effect.MethodsHead trauma...

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Bibliographic Details
Main Authors: Tomasz Puzio, Katarzyna Matera, Karol Wiśniewski, Milena Grobelna, Sora Wanibuchi, Dariusz J. Jaskólski, Ernest J. Bobeff
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Neuroscience
Subjects:
mass effect
automated segmentation
deep-learning neural network
intracranial compartments
cerebrospinal fluid reserve
traumatic brain injury
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1341734/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1341734/full

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