Abstract #0001

DWI^2: exploring the MRI-phase for imaging diffusion

Ralph Sinkus¹, Simon Auguste Lambert¹, Lucas Hadjilucas¹, Shaihan Malik², Anirban Biswas¹, Francesco Padormo², Jack Lee¹, and Joseph V Hajnal²

¹Imaging Sciences & Biomedical Engineering Division Kings College, King's College London, London, United Kingdom, ²Centre for the Developing Brain & Department Biomedical Engineering, King's College London, London, United Kingdom

Classical DWI methods extract information about microstructural tissue complexity from the signal decrease of the MR-magnitude as a function of b-value. Utilization of linear gradients for motion encoding prevents theoretically the use of the MR-phase. Rather, the diffusion information is encoded in the MR-magnitude via global spin dephasing due to Brownian motion with zero net phase shift. This dogma is overturned when considering quadratic gradient fields in space. We demonstrate in theory, experiment, and simulation that the diffusion process leads to a net phase shift with minimal loss in signal magnitude when imaging at the minimum of the quadratic gradient.

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