DMCA
Automated Detection of Extradural and Subdural Hematoma for Contrast-enhanced CT Images in Emergency Medical Care
BibTeX
@MISC{Matobaa_automateddetection,
author = {Naoto Matobaa and Xiangrong Zhoua and Shinya Yokoia and Hiroaki Aizawaa and Hiroshi Fujitaa and Keiji Sakashitab and Tetsuya Matsuokab},
title = {Automated Detection of Extradural and Subdural Hematoma for Contrast-enhanced CT Images in Emergency Medical Care},
year = {}
}
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Abstract
We have been developing the CAD scheme for head and abdominal injuries for emergency medical care. In this work, we have developed an automated method to detect typical head injuries, rupture or strokes of brain. Extradural and subdural hematoma region were detected by comparing technique after the brain areas were registered using warping. We employ 5 normal and 15 stroke cases to estimate the performance after creating the brain model with 50 normal cases. Some of the hematoma regions were detected correctly in all of the stroke cases with no false positive findings on normal cases.
