bridging the micro-macro gap with diffusion MRI

Biophysical Modeling


q-t imaging: We aim to map the microstructure by theoretical and numerical modeling of the non-Gaussian diffusion signal in biological tissue by varying both the wave vector and the diffusion t, the time over which the molecules diffuse.

In q space, we focus on:

In addition, we are also measuring and modeling the time-dependent diffusion ...


D. S. Novikov and Kiselev, V. G., Transverse NMR relaxation in magnetically heterogeneous media, Journal of Magnetic Resonance, vol. 195, pp. 33 - 39, 2008.
D. S. Novikov, Kiselev, V. G., and Jespersen, S. N., On modeling., Magn Reson Med, vol. 79, pp. 3172–3193, 2018.
M. Reisert, Kiselev, V. G., Dihtal, B., Kellner, E., and Novikov, D. S., MesoFT: unifying diffusion modelling and fiber tracking, Medical image computing & computer-assisted intervention : MICCAI, vol. 17, pp. 201-208, 2014.
D. S. Novikov and Kiselev, V. G., Effective medium theory of a diffusion-weighted signal, NMR in biomedicine, vol. 23, pp. 682-697, 2010.
D. S. Novikov, Jensen, J. H., Helpern, J. A., and Fieremans, E., Revealing mesoscopic structural universality with diffusion, Proceedings of the National Academy of Sciences of the United States of America (PNAS), vol. 111, pp. 5088-5093, 2014.
D. S. Novikov, Fieremans, E., Jensen, J. H., and Helpern, J. A., Random walk with barriers, Nature physics, vol. 7, pp. 508-514, 2011.

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