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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 Brackstone3,4, Michael Lock4,5, Anat Kornecki6,7, Olga Shmuilovich6,7, Ilanit Ben Nachum6,7, Frank S Prato1,2,6, R. Terry Thompson1,2,6, Stewart Gaede1,2,8, and Neil Gelman1,2,6

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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