An image feature approach for computer-aided detection of ischemic stroke

Comput Biol Med. 2011 Jul;41(7):529-36. doi: 10.1016/j.compbiomed.2011.05.001. Epub 2011 May 24.


We present a computer-aided detection (CAD) scheme for early detection of ischemic stroke with small lesions using image feature characteristics. A novel Circular Adaptive Region of Interest (CAROI) method is proposed to analyze the Computed Tomography (CT) images of the brain. Our result indicates that for the emergency physicians and radiology residents, there is a significant improvement in sensitivity and specificity when using CAD (P < 0.005). A mathematical model is established incorporating the weighting of the feature changes. Our CAD scheme is promising for early detection of ischemic stroke and helps improve the efficiency and accuracy of clinical practice.

MeSH terms

  • Algorithms
  • Brain Ischemia / diagnostic imaging*
  • Case-Control Studies
  • Databases, Factual
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Neural Networks, Computer
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Stroke / diagnostic imaging*
  • Tomography, X-Ray Computed