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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Article DOI: 10.3791/3871-v • 14:08 min • April 13th, 2013
April 13th, 2013 •
*1,2, *3, 2,4, 2,5, 2,3
1Department of Biostatistics, Virginia Commonwealth University, 2Virginia Commonwealth University Reanimation Engineering Science (VCURES) Center, 3Department of Computer Science, Virginia Commonwealth University, 4Department of Radiology, Virginia Commonwealth University, 5Department of Emergency Medicine, Virginia Commonwealth University
* These authors contributed equally

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Summary
Automatic Translation

An automated midline shift estimation and intracranial pressure (ICP) pre-screening system based on computed tomography (CT) images for patients with traumatic brain injury (TBI) is proposed using image processing and machine learning techniques.

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Automated System Computed Tomography (CT) Images Midline Shift Estimation Intracranial Pressure (ICP) Pre-screening Segmentation Ventricles Shape Matching Measuring Process Texture Information Blood Amount Machine Learning Techniques Feature Selection Support Vector Machines (SVMs) Prediction Model Evaluation Fast Pre-screening Step Invasive ICP Monitoring
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