MRI texture analysis in paediatric oncology: a preliminary study

Stud Health Technol Inform. 2013:190:169-71.

Abstract

Despite current advances in neuro-imaging, the characterisation of paediatric brain tumours and neurological disorders is very challenging. Whilst Magnetic Resonance Imaging (MRI) provides images of superb clarity, it gives little information on how aggressive a tumour is. It is also very difficult to visually inspect any underlying textural patterns between tumours on MR images. This gives rise to the need for a quantitative means of analysing MR images for characterising tumours. In this work, we present a preliminary investigation into the effectiveness of texture analysis as a quantitative approach for classifying paediatric brain tumours.

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Brain / pathology*
  • Brain Neoplasms / pathology*
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Infant
  • Infant, Newborn
  • Magnetic Resonance Imaging / methods*
  • Male
  • Pattern Recognition, Automated / methods*
  • Pilot Projects
  • Reproducibility of Results
  • Sensitivity and Specificity