title: Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  Forty-three P10 BCAO-H rat pups and 8 controls underwent T2WI at 1 day and 28 days. A computational imaging method, Hierarchical Region Splitting (HRS), was developed to automatically and rapidly detect and quantify 3D lesion and normal appearing brain matter (NABM) volumes.
  
  
  RESULTS
  HRS quantified lesion and NABM volumes within 15 s in comparison to 3 h for its manual counterpart, with a high correlation for injury (r(2) = 0. 95; P = 8.6 × 10(-7) ) and NABM (r(2) = 0. 92; P = 1.4 × 10(-22) ). Average lesion volumes for mild, moderate, and severe injuries were 3.85%, 28.85%, and 52.98% for HRS and 0.51%, 24.22%, and 48.74% for manual detection. Lesion volumes and locations were similar for both methods (sensitivity: 0.82, specificity: 0.86, and similarity: 1.47).
  
  
  CONCLUSIONS
  HRS is an accurate, objective, and rapid method to quantify injury evolution in neonatal hypoxic ischemic injury models.
authors: Department of Pediatrics, Loma Linda University, Loma Linda, CA, USA.
authors: Nirmalya
authors: N
authors: Ghosh
authors: Rebecca
authors: R
authors: Recker
authors: Amul
authors: A
authors: Shah
authors: Bir
authors: B
authors: Bhanu
authors: Stephen
authors: S
authors: Ashwal
authors: Andre
authors: A
authors: Obenaus
mesh_terms: D000818:Animals; D000831:Animals, Newborn; D001331:Automation; D001921:Brain / Q000473:pathology; D001930:Brain Injuries / Q000473:pathology; D016893:Carotid Stenosis / Q000473:pathology; D006801:Humans; D000860:Hypoxia / Q000473:pathology; D020925:Hypoxia-Ischemia, Brain / Q000473:pathology*; D007091:Image Processing, Computer-Assisted; D007511:Ischemia / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods; D015233:Models, Statistical; D051381:Rats; D017207:Rats, Sprague-Dawley; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D013997:Time Factors