Abstract #4800

Automatic Segmentation of Brain Metastases Using Saturation Transfer Magnetic Resonance Imaging

Elham Karami^1,2,3, Wilfred Lam², Wendy Oakden², Margaret Koletar², Leedan Murray², Stanley Liu^1,4,5,6, Ali Sadeghi Naini^1,2,3,6, Hany Soliman^1,6, Arjun Sahgal^1,6, and Greg Stanisz^1,2,7

¹Medical Biophysics, University of Toronto, Toronto, ON, Canada, ²Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, ³Electrical and Computer Engineering, Lassonde School of Engineering, York University, Toronto, ON, Canada, ⁴Radiation Oncology, University of Toronto, Toronto, ON, Canada, ⁵Biological Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, ⁶Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, ⁷Neurosurgery and Paediatric Neurosurgery, Medical University of Lublin, Lublin, Poland

Chemical exchange saturation transfer (CEST) and magnetization transfer (MT) are MR contrast mechanisms that have been shown to correlate with cancer metabolism. Given that CEST does not require exogenous contrast agents, the goal of this study was to investigate the potential of CEST for segmenting the images of brain metastasis. As such, the tumour, and edema were segmented on CEST images and compared with segmentation performed on FLAIR and post-gadolinium T₁-weighted images. The results indicate that the Dice similarity coefficient ranges between 0.78 to 0.84, suggesting that CEST can potentially be used for segmentation of brain metastases.

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