Purpose
We propose a new gradient measurement technique based on dynamic single point imaging (SPI), which allows simple, rapid, and robust measurement of k-space trajectory.
Methods
To enable gradient measurement, we utilize the variable field of view (FOV) property of dynamic SPI which is dependent on gradient shape. First, 1D dynamic SPI data are acquired from a targeted gradient axis, and then relative FOV scaling factors between 1D images or k-spaces at varying encoding times are found. These relative scaling factors are the relative k-space position that can be used for image reconstruction. The gradient measurement technique can also be used to estimate the gradient impulse response function for reproducible gradient estimation as a linear-time invariant system.
Result
The proposed measurement technique was used to improve reconstructed image quality in 3D ultra-short echo, 2D spiral, and multi-echo bipolar gradient echo Cartesian imaging. In multi-echo bipolar gradient echo imaging, measurement of the k-space trajectory allowed the use of a ramp-sampled trajectory for improved acquisition speed (approximately 30%) and more accurate quantitative fat and water separation in a phantom.
Conclusion
The proposed dynamic SPI-based method allows fast k-space trajectory measurement with a simple implementation and no additional hardware for improved image quality.