Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury

To develop and compare an automated detection system for ischemic lesions in a neonatal model of bilateral carotid artery occlusion with hypoxia (BCAO‐H) from T2 weighted MRI (T2WI) to the currently used “gold standard” of manual segmentation.

[1]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[2]  D. Saunders,et al.  Measurement of infarct size using MRI predicts prognosis in middle cerebral artery infarction. , 1995, Stroke.

[3]  D. Vigneron,et al.  Prediction of neuromotor outcome in perinatal asphyxia: evaluation of MR scoring systems. , 1998, AJNR. American journal of neuroradiology.

[4]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[5]  G. Cioni,et al.  Neurologic examination in infants with hypoxic-ischemic encephalopathy at age 9 to 14 months: use of optimality scores and correlation with magnetic resonance imaging findings. , 2001, The Journal of pediatrics.

[6]  E. Mercuri,et al.  Neurological and perceptual-motor outcome at 5 - 6 years of age in children with neonatal encephalopathy: relationship with neonatal brain MRI. , 2002, Neuropediatrics.

[7]  Isabelle Bloch,et al.  opologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators , 2003, Pattern Recognit..

[8]  D. Louis Collins,et al.  Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis , 2003, NeuroImage.

[9]  F. Cendes,et al.  Texture analysis of medical images. , 2004, Clinical radiology.

[10]  Grégoire Malandain,et al.  Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[11]  R. Vannucci,et al.  Perinatal Hypoxic-Ischemic Brain Damage: Evolution of an Animal Model , 2005, Developmental Neuroscience.

[12]  Yuanjie Zheng,et al.  A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods , 2005, CVBIA.

[13]  G. Kwakkel,et al.  Ischemic lesion volume correlates with long-term functional outcome and quality of life of middle cerebral artery stroke survivors. , 2005, Restorative neurology and neuroscience.

[14]  Hayit Greenspan,et al.  Constrained Gaussian mixture model framework for automatic segmentation of MR brain images , 2006, IEEE Transactions on Medical Imaging.

[15]  Brian B. Avants,et al.  Adaptive graph cuts with tissue priors for brain MRI segmentation , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[16]  Brian B. Avants,et al.  Integrated Graph Cuts for Brain MRI Segmentation , 2006, MICCAI.

[17]  Steven P. Miller,et al.  MR imaging, MR spectroscopy, and diffusion tensor imaging of sequential studies in neonates with encephalopathy. , 2006, AJNR. American journal of neuroradiology.

[18]  A. Obenaus,et al.  Serial magnetic resonance imaging in a rat pup filament stroke model , 2006, Experimental Neurology.

[19]  Stephen Ashwal,et al.  Use of Advanced Neuroimaging Techniques in the Evaluation of Pediatric Traumatic Brain Injury , 2006, Developmental Neuroscience.

[20]  M. Ibrahim,et al.  Hidden Markov models-based 3D MRI brain segmentation , 2006, Image Vis. Comput..

[21]  Gady Agam,et al.  Probabilistic Brain Lesion Segmentation in DT-MRI , 2006, 2006 International Conference on Image Processing.

[22]  Wiro J. Niessen,et al.  AUTOMATIC SEGMENTATION OF BRAIN TISSUE ANDWHITEMATTER LESIONS IN MRI , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[23]  C. Garbay,et al.  Multimodal MRI segmentation of ischemic stroke lesions , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  T. Niimi,et al.  Information loss in visual assessments of medical images. , 2007, European journal of radiology.

[25]  A. Gunn,et al.  Regional Specificity of Magnetic Resonance Imaging and Histopathology Following Cerebral Ischemia in Preterm Fetal Sheep , 2007, Reproductive Sciences.

[26]  Hayit Greenspan,et al.  LESION DETECTION IN NOISY MR BRAIN IMAGES USING CONSTRAINED GMM AND ACTIVE CONTOURS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[27]  Stephen Ashwal,et al.  Comparison of Two Neonatal Ischemic Injury Models Using Magnetic Resonance Imaging , 2007, Pediatric Research.

[28]  Christophe Collet,et al.  Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions , 2008, 2008 15th IEEE International Conference on Image Processing.

[29]  Christophe Collet,et al.  Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains , 2008, Medical Image Anal..

[30]  Liang Liao,et al.  MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach , 2008, Pattern Recognit. Lett..

[31]  Jian Yang,et al.  Detection of cortical gray matter lesion in the late phase of mild hypoxic–ischemic injury by manganese-enhanced MRI , 2008, NeuroImage.

[32]  F. Hillary,et al.  Automated Detection and Quantification of Brain Lesions in Acute Traumatic Brain Injury Using MRI , 2009, Brain Imaging and Behavior.

[33]  Noureddine Doghmane,et al.  Brain MRI Segmentation and Lesions Detection by EM Algorithm , 2008 .

[34]  Guido Gerig,et al.  Brain Lesion Segmentation through Physical Model Estimation , 2008, ISVC.

[35]  André J. Szameitat,et al.  Detection of Infarct Lesions From Single MRI Modality Using Inconsistency Between Voxel Intensity and Spatial Location—A 3-D Automatic Approach , 2008, IEEE Transactions on Information Technology in Biomedicine.

[36]  Qing He,et al.  A Novel Algorithm for Automatic Brain Structure Segmentation from MRI , 2008, ISVC.

[37]  Tim W. Nattkemper,et al.  Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features , 2008, Bildverarbeitung für die Medizin.

[38]  S. Ashwal,et al.  Animal models of perinatal hypoxic-ischemic brain damage. , 2009, Pediatric neurology.

[39]  Kunio Nakamura,et al.  Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients , 2009, NeuroImage.

[40]  A. Obenaus,et al.  Rodent Neonatal Bilateral Carotid Artery Occlusion with Hypoxia Mimics Human Hypoxic-Ischemic Injury , 2009, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[41]  M. Weindling.  Avery's Diseases of the Newborn , 2013 .