Automated detection and quantification of brain lesions in acute traumatic brain injury using MRI

Frank Gerard Hillary, B. B. Biswal

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)111-122
Number of pages12
JournalBrain Imaging and Behavior
Volume3
Issue number2
DOIs
StatePublished - Jun 1 2009

Fingerprint

Brain Injuries
Brain
Wounds and Injuries
Brain Diseases
Traumatic Brain Injury
Pathology
Hemorrhage

All Science Journal Classification (ASJC) codes

  • Clinical Neurology
  • Psychiatry and Mental health
  • Radiology Nuclear Medicine and imaging
  • Behavioral Neuroscience
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience
  • Neurology

Cite this

@article{9b2230af4be24136b7a18b2e6a5f536e,
title = "Automated detection and quantification of brain lesions in acute traumatic brain injury using MRI",
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.",
author = "Hillary, {Frank Gerard} and Biswal, {B. B.}",
year = "2009",
month = "6",
day = "1",
doi = "10.1007/s11682-008-9053-0",
language = "English (US)",
volume = "3",
pages = "111--122",
journal = "Brain Imaging and Behavior",
issn = "1931-7557",
publisher = "Springer New York",
number = "2",

}

Automated detection and quantification of brain lesions in acute traumatic brain injury using MRI. / Hillary, Frank Gerard; Biswal, B. B.

In: Brain Imaging and Behavior, Vol. 3, No. 2, 01.06.2009, p. 111-122.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Automated detection and quantification of brain lesions in acute traumatic brain injury using MRI

AU - Hillary, Frank Gerard

AU - Biswal, B. B.

PY - 2009/6/1

Y1 - 2009/6/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77949650802&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949650802&partnerID=8YFLogxK

U2 - 10.1007/s11682-008-9053-0

DO - 10.1007/s11682-008-9053-0

M3 - Article

VL - 3

SP - 111

EP - 122

JO - Brain Imaging and Behavior

JF - Brain Imaging and Behavior

SN - 1931-7557

IS - 2

ER -