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Optimal Parameter Selection for 3D Radial Density Adapted Trajectories
Mark Bydder1, Fadil Ali1, Andres Saucedo1, Chencai Wang1, Akifumi Hagiwara1, Alex D Pham1, Jingwen Yao2, and Ben Ellingson1
1UCLA, Los Angeles, CA, United States, 2UCSF, San Francisco, CA, United States

Synopsis

The present article develops an understanding of how to choose optimal (or at least reasonable) parameter values for 3D radial density adapted sampling. This has a practical role in designing clinical protocols for short TE non-Cartesian imaging.

Introduction

Short T2 imaging uses an echo time (TE) of close to zero, which is only attainable with center-out non-Cartesian trajectories. Unfortunately the center-out radial trajectory is unfavorable in terms of sampling efficiency and produces non-uniform coverage of k-space, which leads to a strong dependence of the point spread function (PSF) on number of spokes (N). Density adapted and cones trajectories improve the sampling efficiency [1-3] by lengthening the readout duration to produce more uniform k-space coverage and fulfill the Nyquist criterion with fewer spokes.

A variant of cones referred to in Ref 1 as constant polar angle constant sample density (and in the present study as corkscrew) is represented in Figure 1. To quickly escape the densely sampled center of k-space, the trajectory traverses radially to a specified radius (k0) then switches to a density adapted waveform with slower traversal in the radial direction and a spiral motion in the orthogonal plane. There are several design choices associated with this trajectory; the purpose of the present study is to derive optimal (or, at least, reasonable) parameter values based on geometrical considerations.

Theory

1.1. Nyquist number of spokes for radial
Tessellating a sphere of radius kmax using n-sided regular polygons of surface area a requires N = 4πkmax2 / a polygons. If spoke endpoints are situated at the polygon centers then the Nyquist criterion requires the distance between neighboring spokes (equal to 2 times the apothem) to be 1, in units of inverse field of view (fov-1). Since a = n / 4πtan(π/n), the required number of spokes is:

N = 16πkmax2 / n tan(π/n)

The value π matrix2 (n=4) is commonly used [4-5].

1.2. Sub-Nyquist sampling
Practical scan times limit N to values well below Nyquist. E.g. for an imaging matrix of 128, Eq 1 requires ~50000 spokes. With fewer spokes, some aliasing is to be expected but numerical simulations also reveal a large change in the PSF. An approximately linear decrease in full width at half maximum (FWHM) is observed with N (Figure 2) until it reaches the theoretical minimum of 1.59 times the nominal voxel size [6]. For the corkscrew trajectory, the dependence is much weaker and can be neglected for practical purposes.

1.3. Choice of k0
A reasonable criterion for k0 is the point where the distance between spokes is 1 (in units of fov-1). Beyond this point the Nyquist spacing is no longer satisfied so it is a natural point to switch to the corkscrew or density adapted trajectory. This leads to k0 = sqrt( n tan(π/n) N / 16π ) or assuming n=4:

k0 = sqrt( N / 4π)


1.4. Corkscrew
At k0 the tangential distance (Δktan) between spokes is by definition 1, which makes it a natural point to change trajectory. The corkscrew seeks to reduce Δktan at kmax by distributing points around a circle of radius r with angular spacing Φ (see Figure 3), effectively reducing it to kmax / k0 - 2r. While r and Φ are nominally free parameters, it is possible to make reasonable choices based on theoretical considerations:

i. The distance between points on the same spoke decreases rapidly after k0 (see Figure 1) and may be approximated by the chord length:

Δkchord = 2r sin(Φ/2)

ii. Equal spacing between points on neighboring spokes may be achieved by setting Δktan = Δkchord. With (i) this yields a target radius for the corkscrew:

r = (1+sin(Φ/2))-1 kmax / 2k0

iii. Expressing the Nyquist criterion as Δktan = Δkchord = 1 leads to a target value for the angular rate as a function of N (for n = 4):

Φ = 2 acsc( sqrt(π/N) matrix - 1 )

which evaluates to 53.8° for the example in Figure 3.

1.6. Angular rotation rate
The FWHM was numerically simulated from Φ = 0 to 90° for different numbers of spokes. Results in Figure 4 indicate that the FWHM passes through minima at different values of Φ depending on N, and also exhibits evidence of peak structure. Neighboring loops of the corkscrew effectively overlap when the distance between them is less than 1 and the optimal Φ arranges points to minimize redundancy in filling k-space. Peaks at 60, 72, 90° etc. indicate that the overlap is unfavorable whenever 360/Φ is a small integer.

This can be recognized in Figure 3 where the first and last points are almost coincident and hence redundant. Overlaid on the plot (dashed line) is the gradient slew rate as a percentage of the maximum hardware specification.

1.6. Nyquist number of spokes for corkscrew
The expression in Section 1.4(iii) can be rearranged to give an estimate for the Nyquist number of spokes for corkscrew (for n = 4).

N = [ sin(Φ/2) / (1+sin(Φ/2)) ]2 π matrix2

This evaluates to around 0.13 matrix2 or 2200 spokes for a matrix of 128. This is substantially lower than the ~50000 spoke for radial sampling and in qualitative agreement with simulation results (Figure 2).

Discussion

Protocol design with non-Cartesian trajectories involves making choices for sometimes unfamiliar sequence parameters. Theoretical justifications can support specific choices and help standardize imaging protocols for sodium and other rapidly decaying signals [7].

Acknowledgements

No acknowledgement found.

References

1. Boada FE, Gillen JS, Shen GX, Chang SY, Thulborn KR. Fast three dimensional sodium imaging. Magn Reson Med 1997;37:706–715

2. Paul T. Gurney, Brian A. Hargreaves, Dwight G. Nishimura. Design and Analysis of a Practical 3D Cones Trajectory. Magnetic Resonance in Medicine 2006;55:575–582

3. Nagel AM, Laun FB, Weber MA, Matthies C, Semmler W, Schad LR. Sodium MRI using a density-adapted 3D radial acquisition technique. Magn Reson Med 2009;62:1565–1573

4. Jürgen Rahmer, Peter Börnert, Jan Groen, Clemens Bos. Three-dimensional radial ultrashort echo-time imaging with T2 adapted sampling. Magn Reson Med 2006;55(5):1075-82. doi: 10.1002/mrm.20868.

5. Bernstein MA, King KF, Zhou XJ. Handbook of MRI Pulse Sequences: Elsevier Academic Press; 2004. Chapter 17.5

6. Jürgen Rahmer, Peter Börnert, Jan Groen, Clemens Bos. Three-dimensional radial ultrashort echo-time imaging with T2 adapted sampling. Magn Reson Med 2006;55(5):1075-82. doi: 10.1002/mrm.20868.

7. M Bydder, F Ali, A Saucedo, A Hagiwara, C Wang, AD Pham, J Yao, BM Ellingson. A study of 3D radial density adapted trajectories for sodium imaging. Magn Reson Imaging 2021; 83: 89-95

Figures

Figure 1: An example of the corkscrew trajectory for a matrix of 64. The left plot shows the gradients on the 3 axes. The middle plot shows the kx component of the trajectory versus the radial (kz) component. The right plot shows 8 spokes distributed around the North Pole to give a clearer picture of the point distribution in k-space.

Figure 2: FWHM versus N / matrix2 for radial (circle), density adapted (square) and corkscrew (diamond) trajectories in units of the nominal resolution. Note that, for radial and density adapted, the FWHM varies linearly with N over a wide range.

Figure 3: The kx-ky view of point distributions at maximum kz for corkscrews with N = 5000, matrix 128 and different choices for the rotation angle. Arrows on the center plot indicate the distance between points on the same corkscrew (Δkchord) and the distance between neighboring corkscrew (Δktan) referred to in the text.

Figure 4: The effect of corkscrew rotation anglular rate on FWHM for different N . Minima occur at low to moderate values of Φ and peaks represent unfavorable overlaps of points at integer numbers of 360/Φ. The dashed line shows the slew rate as a percentage of the maximum hardware limitation (188 mT/m/ms).

Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)
2450
DOI: https://doi.org/10.58530/2022/2450