NDLI: Automated Detection and Quantification of Brain Lesions in Acute Traumatic Brain Injury Using MRI

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Brain Imaging and Behavior : Volume 3, Issue 1, March 2009

Brain Imaging and Behavior : Volume 2

Brain Imaging and Behavior : Volume 1

Automated Detection and Quantification of Brain Lesions in Acute Traumatic Brain Injury Using MRI

Content Provider	Springer Nature Link
Author	Hillary, F. G. Biswal, B. B.
Copyright Year	2008
Abstract	The purpose of this study is to develop a reproducible method for quantifying brain lesions in traumatic brain injury (TBI). Quantifying the effects of neuropathology is an important goal in the study of brain injury and disease, yet examiners have encountered significant difficulty quantifying brain lesions in neurotrauma where there may exist multiple, overlapping forms of injury including large focal lesions and more subtle, diffuse hemorrhage and/or shear injury. In the current study, we used conventional MRI to quantify brain lesion volume at separate time points in individuals with severe TBI. We present an automated method (ISODATA) for quantifying brain lesions that is compared against a standard semi-automated volumetric approach. The ISODATA method makes no assumptions about the location or extent of brain lesions, instead identifying areas of neuropathology via voxelwise comparisons of MRI signal intensity. The data reveal that ISODATA overlaps significantly with a semi-automated approach, is reliable across multiple observations, and is sensitive to change in lesion size during recovery from TBI. This study validates a reproducible, automated lesion quantification method used here to determine the location and extent of brain pathology following TBI. This approach may be used in conjunction with advanced imaging techniques to characterize the relationship between brain lesions and neurometabolism and function.
Starting Page	111
Ending Page	122
Page Count	12
File Format	PDF
ISSN	19317557
Journal	Brain Imaging and Behavior
Volume Number	3
Issue Number	2
e-ISSN	19317565
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-01-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	TBI Brain lesions Automated Quantification Detection Neurotrauma Health Psychology Child and School Psychology Clinical Psychology Cognitive Psychology Neuropsychology Public Health/Gesundheitswesen
Content Type	Text
Resource Type	Article
Subject	Neurology Radiology, Nuclear Medicine and Imaging Cognitive Neuroscience Behavioral Neuroscience Neurology (clinical) Cellular and Molecular Neuroscience Psychiatry and Mental Health

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