Abstract #2105

Reducing computation time for registration in Breast DCE-MRI: Effects of percent sampling on kinetic analysis model parameters, uncertainties, and goodness of Fit

Matthew Mouawad¹, Heather Biernaski², Muriel Brackstone^3,4, Michael Lock^4,5, Anat Kornecki^6,7, Olga Shmuilovich^6,7, Ilanit Ben Nachum^6,7, Frank S Prato^1,2,6, R. Terry Thompson^1,2,6, Stewart Gaede^1,2,8, and Neil Gelman^1,2,6

¹Medical Biophysics, Western University, London, ON, Canada, ²Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, ³Surgical Oncology, London Regional Cancer Program, London, ON, Canada, ⁴Oncology, Western University, London, ON, Canada, ⁵Radiation Oncology, London Regional Cancer Program, London, ON, Canada, ⁶Medical Imaging, Western University, London, ON, Canada, ⁷Diagnostic Imaging, St. Joseph's Health Center, London, ON, Canada, ⁸Physics and Engineering, London Regional Cancer Program, London, ON, Canada

Patient movement during dynamic contrast enhanced breast MRI acquisition can degrade signal enhancement curves. Non-rigid image registration can improve enhancement curves, but computation time can be long, especially if all voxels are sampled for cost function estimation. This work investigates the influence of the percentage of voxels sampled (PS) on goodness-of-fit, kinetic model parameter values and uncertainties. The spatial distribution of parameter values was more strongly influenced by registration and PS compared to global tumor measures. Registration with very low PS values increased parameter uncertainties compared to unregistered. 5 PS provided similar performance to 100 PS with reduced computation time.

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