MRI texture analysis in paediatric oncology: a preliminary study

Research output: Contribution to journalArticlepeer-review

Authors

  • Ahmed E Fetit
  • Daniel Rodriguez
  • Dorothee P Auer
  • Chris A Clark
  • Tim Jaspan

External organisations

  • University of Birmingham

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.

Details

Original languageEnglish
Pages (from-to)169-71
Number of pages3
JournalStudies in health technology and informatics
Volume190
Publication statusPublished - 2013

Keywords

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