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Abstract #3419

Estimating the pore size in a biomimetic phantom using free gradient waveforms

Maryam Afzali1, Tomasz Pieciak2,3, Lars Mueller1, Andre Doring1, Dan Ma4, Marco Pizzolato5,6, and Derek K Jones1
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2AGH University of Science and Technology, Kraków, Poland, 3LPI, ETSI Telecomunicación, Universidad de Valladolid,, Valladolid, Spain, 4Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 5Department of Applied Mathematics and Computer Science, Technical University of Denmark,, Kongens Lyngby, Denmark, 6Signal Processing Lab (LTS5), École polytechnique fédérale de Lausanne (EPFL), Lausanne, Swaziland

Diffusion magnetic resonance imaging is a non-invasive tool to probe the microstructural features of a sample. One of these properties is the restriction size that can be measured by changing the diffusion time or alternatively changing the frequency content of the gradient waveform. B-tensor encoding was proposed recently to disentangle microstructural features of the tissue. Here we use the combination of linear, planar, and spherical tensor encoding to estimate the pore size in a biomimetic phantom, for which ground truth size estimates were available. The results show a good agreement between the estimated sizes and ground truth values.

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