Abstract #2390

Stacked In-plane Histology for Quantitative Validation of Non-invasive Imaging Biomarkers: Application to an Infiltrative Brain Tumour Model

Haitham Al-Mubarak¹, Antoine Vallatos², Joanna Birch³, Lindsay Gallagher¹, James Mullin⁴, Lesley Glmour⁴, John Foster⁵, Anthony Chalmers⁶, and William Holmes¹

¹Glasgow Experimental MRI Center, University of Glasgow, Glasgow, United Kingdom, ²Centre of Clinical Brain Science, Edinburgh, United Kingdom, ³Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom, ⁴University of Glasgow, Glasgow, United Kingdom, ⁵Department of Clinical Physics and Bioengineering, Greater Glasgow Health Board and University of Glasgow, Glasgow, United Kingdom, ⁶Institute of Cancer Sciences, Glasgow university, Glasgow, United Kingdom

Despite the advance in medical imaging, it is important to validate new imaging biomarkers for a particular disease against histopathology, which is considered the ground truth. Here we propose a methodology for the quantitative validation of MRI biomarkers by the co-registration of histological probability maps with MR images. Using a mouse model of infiltrative brain tumours, we show this approach is far more robust than those currently applied.

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