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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 Westin1,5

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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