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Abstract #0873

Automatic Classification of High Grade Brain Tumour MRI for Improved Resection & Therapy Planning

Yaniv Gal1, Stephen Rose2, Pierrick Bourgeat3, Nicholas Dowson3, Zeike Taylor4, Michael Fay5, Paul Thomas5, Olivier Salvado3, Stuart Crozier1

1School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Queensland, Australia; 2Centre of Clinical Research, University of Queensland, Brisbane, Queensland, Australia; 3CSIRO, Brisbane, Queensland, Australia; 4Department of Mechanical Engineering, The University of Sheffield, Sheffield, Sheffield, United Kingdom; 5Royal Brisbane and Womens Hospital, Brisbane, Brisbane, Queensland, Australia

A method for automatic classification of high grade brain tumour MRI for improved resection and therapy planning is proposed. The method is validated qualitatively and quantitatively on MRI and FDOPA PET images and is found to increase the sensitivity of contrast enhanced MRI to high grade brain tumours.