Abstract #3419

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

Maryam Afzali¹, Tomasz Pieciak^2,3, Lars Mueller¹, Andre Doring¹, Dan Ma⁴, Marco Pizzolato^5,6, 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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