Abstract #4131

A quadrature filter approach to diffusion weighted imaging with application in pore size estimation

Hans Knutsson¹, Filip Szczepankiewicz², Cem Yolcu¹, Magnus Herberthson³, Evren Özarslan¹, Markus Nilsson⁴, and Carl-Fredrik Westin^1,5

¹Department of Biomedical Engineering, Linköping University, Linköping, Sweden, ²Random Walk Imaging AB, Lund, Sweden, ³Department of Mathematics, Linköping University, Linköping, Sweden, ⁴Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden, ⁵Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

We present a novel approach to gradient waveform design for diffusion weighted MRI. The approach is founded on the temporal frequency domain formulation of the signal attenuation. The objective is to obtain a set of circularly polarized oscillating gradient waveforms that are optimal in terms of b-value, frequency selectivity and in-plane rotational invariance. A new pore size estimation algorithm is presented. We show phantom and in vivo results based on MRI scans using an opimized waveform set.

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