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Abstract #2264

Investigation of a Logistic Model for T2* Dynamic Susceptibility Weighted (DscMRI) Perfusion Studies

Graeme M. Wardlaw1,2, Raimond Wong3, Colm Boylan4, Ryan Rebello4, Michael D. Noseworthy2,5

1Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, ON, Canada; 2Brain-Body Institute, St. Josephs Healthcare, Hamilton, ON, Canada; 3Dept. of Oncology, Juravinski Cancer Centre, Hamilton, ON, Canada; 4Dept. of Diagnostic Imaging, St. Josephs Healthcare, Hamilton, ON, Canada; 5Electrical and Computer Engineering, School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada

Investigation of tumour microvasculature typically involves application of dynamic contrast methods, exploiting T1 or T2 based relaxation. However, typical pharacokinetic models simplify complex biological systems via numerous assumptions. Alternatively, model-free approaches offer an easy, and potentially equally effective means of assessing tissue microstructure. Herein, we investigate a 6-parameter logistic approach applied to a T2*-weighted echo-planar imaging readout bolus response curve. This allows for increased spatial coverage over T1 methods, while maintaining rapid 1.5s temporal acquisition. Initial investigation of rectal cancer shows good clinical and previous study correlation.