TY - GEN
T1 - DWI acquisition schemes and Diffusion Tensor estimation
T2 - A simulation-based study
AU - Aja-Fernández, Santiago
AU - Tristan-Vega, Antonio
AU - Casaseca-de-la-Higuera, Pablo
PY - 2010/11/11
Y1 - 2010/11/11
N2 - Diffusion Tensor Imaging (DTI) is the most used paradigm among the Diffusion Weighted Magnetic Resonance Imaging techniques, due to its inner simplicity and huge application potential. Least Squares has become the standard technique to estimate the Diffusion Tensor (DT) from Diffusion Weighted Images. This approach is known to be optimal when the acquired data follows Gaussian, Rician or non-central chi distributions. In this paper we study the effect of different acquisition schemes over the quality of the DT estimation. The following cases are considered: single coil, multiple coil fully sampled, and accelerated subsampled multiple coil acquisitions with SENSE and GRAPPA reconstructions. Reconstructed subsampled data will show an acceleration in the acquisition process, but also greater variance and bias in the DT estimation.
AB - Diffusion Tensor Imaging (DTI) is the most used paradigm among the Diffusion Weighted Magnetic Resonance Imaging techniques, due to its inner simplicity and huge application potential. Least Squares has become the standard technique to estimate the Diffusion Tensor (DT) from Diffusion Weighted Images. This approach is known to be optimal when the acquired data follows Gaussian, Rician or non-central chi distributions. In this paper we study the effect of different acquisition schemes over the quality of the DT estimation. The following cases are considered: single coil, multiple coil fully sampled, and accelerated subsampled multiple coil acquisitions with SENSE and GRAPPA reconstructions. Reconstructed subsampled data will show an acceleration in the acquisition process, but also greater variance and bias in the DT estimation.
U2 - 10.1109/IEMBS.2010.5627492
DO - 10.1109/IEMBS.2010.5627492
M3 - Conference contribution
SN - 9781424441242
T3 - IEEE Engineering in Medicine and Biology Society Conference Proceedings
SP - 3317
EP - 3320
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
PB - IEEE
CY - Piscataway, NJ
ER -