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3D texture analysis of MR images to improve classification of paediatric brain tumours : a preliminary study
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Fetit, A. E., Novak, J., Peet, A. C. and Arvanitis, Theodoros N. (2014) 3D texture analysis of MR images to improve classification of paediatric brain tumours : a preliminary study. In: ICIMTH2014, Athens, Greece, 10-13 Jul 2014. Published in: Integrating Information Technology and Management for Quality of Care, Volume 202 pp. 213-216. doi:10.3233/978-1-61499-423-7-213
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Official URL: http://dx.doi.org/10.3233/978-1-61499-423-7-213
Abstract
Brain and central nervous system (CNS) tumours form the second most common group of cancers in children in the UK, accounting for 27% of all childhood cancers. Initial assessment of tumours from MRI scans is usually performed qualitatively, via radiologists' visual inspection. However, different brain tumours do not always demonstrate clear differences in physical appearance, so a diagnosis is usually made via histopathological examination of biopsy samples taken through surgery. This gives rise to the need for accurate, yet non-invasive diagnostic aids. In a previous study, we demonstrated the potential of MRI texture analysis in capturing quantitative information about paediatric brain tumours. In this work, we carry out a preliminary investigation on the use of 3D (volumetric) texture analysis of T1 and T2-weighted MR images in order to classify paediatric brain tumours. We then compare its performance with the traditional 2D texture analysis approach. Our preliminary findings are very encouraging and show that 3D textural features are capable of capturing more discriminative information about the tumours than the traditional 2D approach. However, it remains necessary to expand the work further to include larger cohorts and additional modalities.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Series Name: | Studies in Health Technology and Informatics | ||||
| Journal or Publication Title: | Integrating Information Technology and Management for Quality of Care | ||||
| Publisher: | IOS Press | ||||
| Official Date: | 2014 | ||||
| Dates: |
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| Volume: | Volume 202 | ||||
| Page Range: | pp. 213-216 | ||||
| DOI: | 10.3233/978-1-61499-423-7-213 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | ICIMTH2014 | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Athens, Greece | ||||
| Date(s) of Event: | 10-13 Jul 2014 | ||||
| Related URLs: |
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