/Szczepankiewicz_JNeuMeth_2021

Gradient waveform design for tensor-valued encoding in diffusion MRI

BSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Gradient waveform design for tensor-valued encoding in diffusion MRI

Filip Szczepankiewicz1,2,3,*, Carl-Fredrik Westin1,2 and Markus Nilsson3

  1. Radiology, Brigham and Women’s Hospital, Boston, MA, US
  2. Harvard Medical School, Boston, MA, US
  3. Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden

*Corresponding author
E-mail: filip.szczepankiewicz@med.lu.se

Overview

Tensor-valued diffusion encoding often requires complex gradient wavefomrs. In the design of these, features such as physiology, hardware, and diffusion physics must be considered. This paper reviews the major factors that go into the waveform design, and the tradeoffs that are considered.
F. Szczepankiewicz, C-F. Westin, M. Nilsson. Gradient waveform design for tensor-valued encoding in diffusion MRI. Journal of Neuroscience Methods 348, 2021.

Resources related to the FWF sequence can be found at the FWF sequence GIT repository