Assessment of Tissue Injury in Severe Brain Trauma

We report our methodological developments to investigate, in a multi-center study using mean diffusivity, the tissue damage caused by a severe traumatic brain injury (GSC<9) in the 10 days post-event. To assess the diffuse aspect of the injury, we fuse several atlases to parcel cortical, subcortical and WM structures into well identified regions where MD values are computed and compared to normative values. We used P-LOCUS to provide brain tissue segmentation and exclude voxels labeled as CSF, ventricles and hemorrhagic lesion and then automatically detect the lesion load. Preliminary results demonstrate that our method is coherent with expert opinion in the identification of lesions. We outline the challenges posed in automatic analysis for TBI.

[1]  Michael L. Lipton,et al.  Whole Brain Approaches for Identification of Microstructural Abnormalities in Individual Patients: Comparison of Techniques Applied to Mild Traumatic Brain Injury , 2013, PloS one.

[2]  Christian Barillot,et al.  Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[3]  P. London Injury , 1969, Definitions.

[4]  Pratik Mukherjee,et al.  Magnetic resonance imaging improves 3‐month outcome prediction in mild traumatic brain injury , 2012, Annals of neurology.

[5]  R. Kikinis,et al.  A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury , 2012, Brain Imaging and Behavior.

[6]  Egill Rostrup,et al.  Long-term global and regional brain volume changes following severe traumatic brain injury: A longitudinal study with clinical correlates , 2009, NeuroImage.

[7]  E. Eriksson,et al.  Goal Directed Brain Tissue Oxygen Monitoring Versus Conventional Management in Traumatic Brain Injury: An Analysis of In Hospital Recovery , 2013, Neurocritical Care.

[8]  Steven Laureys,et al.  Assessment of White Matter Injury and Outcome in Severe Brain Trauma: A Prospective Multicenter Cohort , 2012, Anesthesiology.

[9]  Jean-Jacques Le Jeune,et al.  Dynamics of cerebral edema and the apparent diffusion coefficient of water changes in patients with severe traumatic brain injury. A prospective MRI study , 2006, European Radiology.

[10]  Richard Goldstein,et al.  Human Neuroscience , 2010 .

[11]  A. Toga,et al.  Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes. , 2011, Journal of neurotrauma.

[12]  Daniel Rueckert,et al.  Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI , 2015, Neurorehabilitation and neural repair.

[13]  Jyrki Lötjönen,et al.  Robust whole-brain segmentation: Application to traumatic brain injury , 2015, Medical Image Anal..

[14]  D. Louis Collins,et al.  Diffusion Weighted Image Denoising Using Overcomplete Local PCA , 2013, PloS one.

[15]  Christian Barillot,et al.  A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation , 2010, AISTATS.

[16]  Khader M. Hasan,et al.  Multi-modal MRI of mild traumatic brain injury , 2014, NeuroImage: Clinical.

[17]  Erin D. Bigler,et al.  Quantitative Neuroimaging and the Prediction of Rehabilitation Outcome Following Traumatic Brain Injury , 2010, Front. Hum. Neurosci..

[18]  Andrea B Troxel,et al.  Brain tissue oxygen-directed management and outcome in patients with severe traumatic brain injury. , 2010, Journal of neurosurgery.

[19]  William M. Wells,et al.  Validation of image segmentation by estimating rater bias and variance , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[20]  Keiji Hashimoto,et al.  Voxel- and atlas-based analysis of diffusion tensor imaging may reveal focal axonal injuries in mild traumatic brain injury -- comparison with diffuse axonal injury. , 2012, Magnetic resonance imaging.

[21]  Kelvin O. Lim,et al.  Diffuse and spatially variable white matter disruptions are associated with blast-related mild traumatic brain injury , 2012, NeuroImage.

[22]  J D Pickard,et al.  Physiological thresholds for irreversible tissue damage in contusional regions following traumatic brain injury. , 2005, Brain : a journal of neurology.

[23]  Peter Savadjiev,et al.  Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners , 2015, MICCAI.

[24]  Khader M Hasan,et al.  Serial atlas-based diffusion tensor imaging study of uncomplicated mild traumatic brain injury in adults. , 2014, Journal of neurotrauma.