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This is surely not at par with what is available in SPARKLING package (as it ensures that the density of points on trajectory matches the initial trajectory, and we have better control on total sample time. However, it is still a good worthy way to make sure a trajectory can be played on the scanner.
What we can expect is a function which takes in the hardware constraints and a trajectory and returns a trajectory which can be run on scanner. This should be a function having same API as the one which checks if the trajectory satisfies hardware constraints.
Here are resources:
M. Lustig, S. J. Kim, and J. M. Pauly, “A fast method for designing timeoptimal gradient waveforms for arbitrary k-space trajectories,” IEEE Trans. Med. Imag., vol. 27, no. 6, pp. 866–873, 2008.
B. A. Hargreaves, D. G. Nishimura, and S. M. Conolly, “Time-optimal
multidimensional gradient waveform design for rapid imaging,” Magn.
Reson. Med., vol. 51, no. 1, pp. 81–92, 2004.
We should mostly rely on 1).
The text was updated successfully, but these errors were encountered:
This is surely not at par with what is available in SPARKLING package (as it ensures that the density of points on trajectory matches the initial trajectory, and we have better control on total sample time. However, it is still a good worthy way to make sure a trajectory can be played on the scanner.
What we can expect is a function which takes in the hardware constraints and a trajectory and returns a trajectory which can be run on scanner. This should be a function having same API as the one which checks if the trajectory satisfies hardware constraints.
Here are resources:
multidimensional gradient waveform design for rapid imaging,” Magn.
Reson. Med., vol. 51, no. 1, pp. 81–92, 2004.
We should mostly rely on 1).
The text was updated successfully, but these errors were encountered: