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Abstract #0867

Automatic Assessment of High Grade Brain Tumour Tissue in MR Images: What Is Tumour & What Radiation Injury

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, United Kingdom; 5Royal Brisbane and Womens Hospital, Brisbane, Brisbane, Queensland, Australia


A method for automatic assessment of high grade brain tumour tissue in MR images is presented. The aim of the method is to differentiate between tumour tissue and radiation injured tissue. The method is validated qualitatively on two high grade brain cancer patients and demonstrates high potential.

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