Bipolar time-interleaved multi-echo gradient echo imaging for high-resolution water-fat imaging
Stefan Ruschke1, Holger Eggers2, Hendrik Kooijman3, Houchun H. Hu4, Ernst J. Rummeny1, Axel Haase5, Thomas Baum1, and Dimitrios C. Karampinos1

1Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany, 2Philips Research, Hamburg, Germany, 3Philips Healthcare, Hamburg, Germany, 4Radiology, Phoenix Children’s Hospital, Phoenix, AZ, United States, 5Zentralinstitut für Medizintechnik, Technische Universität München, Garching, Germany

Synopsis

As the spatial resolution of a multi-echo gradient-echo imaging sequence increases, the echo time step increases resulting in an increased echo time step and an echo time selection that degrades the noise performance of water-fat separation. Time-interleaved gradient echo imaging combined with bipolar (flyback) gradients can achieve reasonable echo time steps at high resolution without dramatically increasing scan time. However, bipolar gradients are associated with known phase errors problems, which can lead to fat quantification errors. The present work develops a methodology for acquiring bipolar time interleaved multi-echo gradient echo data and for correcting the relevant phase errors.

Purpose

An important consideration in the design of multi-echo gradient-echo pulse sequences employed for water-fat imaging is the trade-off between spatial resolution and echo time step. As the spatial resolution increases, the echo time step also increases and can yield to an echo time selection that degrades the noise performance of water-fat separation [1]. Time-interleaved gradient echo imaging sequences using mono-polar (non-flyback) gradients can reduce the echo time step with the disadvantage of requiring more shots and increasing thus scan time. Time-interleaved gradient echo imaging can be alternatively combined with bipolar (flyback) gradients in order to achieve reasonable echo time steps at high resolution without increasing scan time [2-5]. However, bipolar gradients are associated with known phase errors problems, which can lead to fat quantification errors [4-5]. The present work develops a methodology for acquiring bipolar time interleaved multi-echo gradient echo and for correcting the relevant phase errors.

Methods

Sequence & Phase Correction:

A bipolar time-interleaved multi-echo gradient echo sequence was implemented (Fig. 1). For phase correction purposed, a reference scan was performed before the actual measurement. It acquired the center k-spacpe line twice for echo time with both polarities is played out before the actual sequence. A 1D phase correction was then performed based on the reference scan data. [6] Furthermore, the concomitant gradient coefficients [7] are calculated based on the gradient waveforms and then corrected during the reconstruction process.

Signal model:

The signal model as described by Peterson et al. [8] was used, fitting for compelx water and fat, a common T2*, fieldmap and a complex error map term:

$$ S\left(t_n\right)=\left(\rho_w+\rho_f\sum_{m=1}^{M}\alpha_me^{i2\pi{}\Delta{}f_mt_n}\right)e^{i2\pi\psi{}t_n}e^{\left(-1\right)^ni\theta}$$

Measurements:

All studies were performed on a 3T scanner (Ingenia, Philips Healthcare). Agar based water-fat phantoms [9] with nominal fat fractions of 0, 5, 10, 15 and 100 % have been used in the phantom experiment.

Used parameters in vivo pancreas experiment: The Bi-polar TIMGRE used 2x3 echoes, voxel size = 0.9 x 0.9 x 5mm3, TR = 8 ms, TE1 = 2, dTE = 0.8;

Used parameters in vivo spine experiment: The Bi-polar TIMGRE used 2x3 echoes, voxel size = 0.9 x 0.9 x 10 mm3, TR = 8 ms, TE1 = 2, dTE = 0.8; mono-polar TIMGRE used 2x3 echoes, voxel size = 2.2 x 2.2 x 10 mm3, TR = 7.9 ms, TE1 = 2, dTE = 0.8.

Results

A good agreement was achieved in estimating both fat fraction and T2* values in the water-fat phantoms between the monopolar and bipolar sequences (Figure 2). Figures 3 and 4 compare the fat quantification results between the two sequences in the calf muscle and the lumbar spine respectively, showing a good visual agreement between the two methods. Figure 5 shows the fat quantification results in the abdomen using the bipolar sequence. Despite the relatively low SNR of the abdominal scan, the pancreas geometry can be well delineated with the bipolar sequence.

Discussion & Conclusion

A novel methodology was developed incorporating a bipolar time-interleaved multi-echo gradient echo acquisition with a reconstruction process correcting for phase error effects. The fat quantification accuracy of the developed methodology was validated in phantoms and the feasibility of the method was shown in vivo in three different body regions. The developed bipolar sequence was compared with a standard monopolar sequence, showing comparable water-fat separation and fat quantification results, but at higher spatial resolution than the monopolar sequence. The proposed methodology therefore enables reliable fat fraction mapping at high spatial resolution and within reasonable acquisition times and might be useful in measuring fat fraction changes in smaller organs (e.g. the pancreas).

Acknowledgements

The present work was supported by Philips Healthcare.

References

[1] Pineda, Magn Reson Med 54:625, 2005,

[2] Lu, Magn Reson Med 60:198, 2008,

[3] Yu, J Magn Reson Imaging 31:1264, 2010,

[4] Petterson, Magn Reson Med 71:219, 2014,

[5] Sollman, Magn Reson Med, 2015, doi: 10.1002/mrm.25807,

[6] Ruscke, Proc. ISMRM 2015, p. 3657,

[7] Bernstein, Magn Reson Med 38:300, 1998,

[8] Peterson, Magn Reson Med. 2014 Jan;71(1):219-29,

[9] Hines, Magn Reson Med. 2009;30:1215–1222.

Figures

Fig. 1: Bipolar TIMGRE sequence: E.g. in total ten echoes with constant echo spacing (ΔTE) are acquired in two interleaves (five echoes per interleave) without using fly-back gradients.

Fig. 4: Spine example: Water, fat, fat fraction T2* and fieldmap using the mono-polar and bipolar TIMGRES approach in the first and second row, respectively.

Fig. 3: Muscle example: Water, fat, fat fraction T2* and fieldmap using the mono-polar and bipolar TIMGRES approach in the first and second row, respectively.

Fig. 5: Pancreas example: Water, fat, fat fraction fieldmap using the bipolar TIMGRES approach. T2* map is not shown as it is not of clinical interest in this volunteer.

Fig. 2: Results of the phantom experiment: measured fat fraction and T2* using the mono-polar and bi-polar TIMGRE in the first and second row, respectively. Measured mean values within in the ROIs (red boxes) are given above each ROI. The water fat phantoms have approximately a nominal mass fat fraction of 100, 15 and 10 % (upper row, left to right) and 5 and 0 % (lower row, left to right).




Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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