Paper
30 March 2007 Automated detection of extradural and subdural hematoma for contrast-enhanced CT images in emergency medical care
Takeshi Hara, Naoto Matoba, Xiangrong Zhou, Shinya Yokoi, Hiroaki Aizawa, Hiroshi Fujita, Keiji Sakashita, Tetsuya Matsuoka
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takeshi Hara, Naoto Matoba, Xiangrong Zhou, Shinya Yokoi, Hiroaki Aizawa, Hiroshi Fujita, Keiji Sakashita, and Tetsuya Matsuoka "Automated detection of extradural and subdural hematoma for contrast-enhanced CT images in emergency medical care", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651432 (30 March 2007); https://doi.org/10.1117/12.710307
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Cited by 13 scholarly publications.
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KEYWORDS
Brain

Neuroimaging

Computed tomography

X-ray computed tomography

Head

Computer aided diagnosis and therapy

Injuries

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