1. MRI texture analysis in paediatric oncology: a preliminary study.
- Author
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Fetit AE, Novak J, Rodriguez D, Auer DP, Clark CA, Grundy RG, Jaspan T, Peet AC, and Arvanitis TN
- Subjects
- Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Pilot Projects, Reproducibility of Results, Sensitivity and Specificity, Algorithms, Artificial Intelligence, Brain pathology, Brain Neoplasms pathology, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging methods, Pattern Recognition, Automated methods
- 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.
- Published
- 2013