Stephan E. Maier1, Bruno Madore2
1Radiology Department, Brigham and
Women's Hospital, Harvard Medical School, Boston, MA, United States; 2Radiology
Department, Brigham and Women's Hospital, Harvard Medical School , Boston,
MA, United States
A
method is presented here to exploit inherent redundancies in multi-b
multi-direction datasets, for accelerated diffusion imaging. The approach is
clearly not meant as an alternative to established acceleration methods such
as parallel imaging and partial-Fourier imaging, but rather as a complement
to these methods for additional imaging speed. We show how Fourier analysis
along the b-factor and encoding direction parameter axes provides new
insights into more efficient sampling of diffusion data with virtually no
loss of information.