A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal
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Authors
Bates, Alice
Daducci, Alessandro
Sadeghi, Parastoo
Caruyer, Emmanuel
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We propose a 4-dimensional (4D) basis and sampling
scheme, along with a corresponding reconstruction algorithm, for
the measurement and reconstruction of the b-tensor encoded diffusion signal in diffusion magnetic resonance imaging (MRI). This
is only the second basis proposed for representing the b-tensor
encoded diffusion signal and the first to allow for planar tensor measurements. We design a sampling scheme that attains an efficient
number of samples, equal to the degrees of freedom required to
represent the diffusion signal in the proposed 4D basis. The properties of the diffusion signal are studied to provide recommendations
on how many b-tensor measurements to use. Evaluation of the
proposed scheme using Monte Carlo simulations of the diffusion
signal is done to show that the proposed scheme gives accurate
interpolation of the signal.
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Source
IEEE Signal Processing Letters
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Restricted until
2099-12-31