Keywords: Diffusion Analysis & Visualization, Diffusion Analysis and Visualization, Data fitting, optimization, microstructure, MRI cytometry
Motivation: A generalized protocol for efficient and accurate data fitting is important.
Goal(s): To optimize an accurate and precise fitting approach for MRI cytometry.
Approach: A Monte Carlo simulation was performed to optimize parameters for a dictionary-based fitting method. Additionally, a selection of data fitting methods were compared for accuracy and speed.
Results: A dictionary step size of 𝚫d< 0.5 μm and prior Gaussian distribution with dmean = 14 μm and σd = 100 μm provide accurate and precise data fitting for a broad range of ground truth cell size values. Dictionary-matching with a prior distribution proved to be the most robust.
Impact: To improve and achieve robust data fitting accuracy and precision for clinical applications.
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