MRI texture analysis in paediatric oncology: a preliminary study

Ahmed E Fetit, Jan Novak, Daniel Rodriguez, Dorothee P Auer, Chris A Clark, Richard G Grundy, Tim Jaspan, Andrew C Peet, Theodoros N Arvanitis

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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.

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


  • 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


Dive into the research topics of 'MRI texture analysis in paediatric oncology: a preliminary study'. Together they form a unique fingerprint.

Cite this