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.