Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Averages?
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Background
Cardiac diffusion tensor imaging (cDTI) is sensitive to imaging parameters including the number of unique diffusion encoding directions (ND) and number of repetitions (NR; analogous to number of signal averages or NSA). However, there is no clear guidance for optimising these parameters in the clinical setting.
Methods
Spin echo cDTI data with 2 nd order motion compensated diffusion encoding gradients were acquired in ten healthy volunteers on a 3T MRI scanner with different diffusion encoding schemes in pseudo-randomised order. The data were subsampled to yield 96 acquisition schemes with 6 ≤ ND ≤ 30 and 33 ≤ total number of acquisitions (NA all ) ≤ 180. Stratified bootstrapping with robust fitting was performed to assess the precision and accuracy of each acquisition scheme. This was quantified across a mid-ventricular short-axis slice in terms of root mean squared difference (RMSD) with respect to the full reference dataset, and standard deviation (SD) across bootstrap samples respectively.
Results
For the same acquisition time, the ND = 30 schemes had on average 48%, 40%, 34% and 34% lower RMSD and 6.2%, 7.4%, 10% and 5.6% lower SD in MD, FA, HA and E2A compared to the ND = 6 schemes. Given a fixed number of high b-value acquisitions, there was a trend towards lower RMSD and SD of MD and FA with increasing numbers of low b-value acquisitions. Higher NA all with longer acquisition times led to improved accuracy in all metrics whereby quadrupling NA all from 40 to 160 volumes led to a 21%, 40%, 13% and 4.5% reduction in RMSD of MD, FA, HA and E2A, averaged across six diffusion encoding schemes. Precision was also improved with a corresponding 53%, 50%, 52% and 36% reduction in SD.
Conclusions
We observed that accuracy and precision were enhanced by (i) prioritising number of diffusion encoding directions over number of repetitions given a fixed acquisition time, (ii) acquiring sufficient low b-value data, (iii) using longer protocols where feasible. For clinically relevant protocols, our findings support the use of ND = 30 and NA b50 :NA b500 ≥ 1/3 for better accuracy and precision in cDTI parameters. These findings are intended to help guide protocol optimisation for harmonisation of cDTI.
