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
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 powerful tool to extract the microstructural properties of a sample such as restriction size. In this work, we estimate pore sizes in a biomimetic phantom using free gradient waveforms.
Figure 2. The estimated parameters of the cylinder + ball model.
Figure 3. Mean and the median value of the estimated parameters in each tube.