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  • Workshop presentation
  • Open Access

Accelerating spiral tissue phase velocity mapping without affecting peak velocity measurements

  • 1,
  • 1,
  • 1,
  • 2 and
  • 1
Journal of Cardiovascular Magnetic Resonance201416 (Suppl 1) :W31

https://doi.org/10.1186/1532-429X-16-S1-W31

  • Published:

Keywords

  • Coil Sensitivity
  • Entire Cardiac Cycle
  • Spiral Trajectory
  • Royal Brompton Hospital
  • Phase Velocity Mapping

Background

TPVM is a promising technique for measuring myocardial mechanics [1] but long scan times have limited its clinical application, despite acceleration techniques such as view-sharing [2] or k-t BLAST [3] being used. Cartesian work using k-t BLAST found that accelerations greater than a factor of 2 affected peak velocity measurements, possibly because of temporal smoothing inherent in the technique [3]. Recently spiral trajectories have been shown to be capable of greatly reducing scan duration in comparison with similar resolution Cartesian sequences [4]. A new spiral TPVM sequence which uses the Gadgetron [5] GPU implementation of non Cartesian SENSE has been developed: this abstract compares peak velocities measured with different acceleration factors.

Methods

K-space is fully sampled with 8 spiral interleaves (14 ms duration, TR 24 ms). Data is acquired at 2 levels of acceleration, acquiring 4 (R2) and 3 (R3) out of the 8 spirals in order to assess the effect of acceleration on the measured velocities. Velocity compensated and encoded data are acquired in consecutive heartbeats, with an initial heartbeat used to collect coil sensitivity information (breath-hold durations are 17 and 13 heartbeats for R2 and R3). Acquired spatial resolution is 1.7 × 1.7 mm (reconstructed pixel size 0.85 × 0.85 mm). Retrospective cardiac gating is used to cover the entire cardiac cycle (50 phases reconstructed). Images are passed to the Gadgetron for reconstruction and returned to the scanner for viewing within 1 min 20 s. Basal, mid and apical short-axis slices were acquired in 10 healthy volunteers on a Siemens Skyra 3T scanner.

Results

Example images and velocity maps for R2 and R3 are shown in Figure 1. Very little difference in image quality or measured velocities is seen between levels of acceleration. Figure 2 shows the mean and SD peak velocity values for R2 and R3 in all three slices and all three directions. Velocities measured with R2 and R3 were extremely similar, with no significant differences between measured peaks or TTPs.
Figure 1
Figure 1

Magnitude images (top) and longitudinal velocity maps (2nd row), along with colour overlays showing peak systolic (S L , 3rd row) and peak diastolic (D L , bottom) velocities measured with R2 (left) and R3 (right). Image quality is very similar between the two levels of acceleration and measured velocities are qualitatively also very similar.

Figure 2
Figure 2

R2 (red) and R3 (blue) peak and global TTP values shown as mean +/- SD values over the ten volunteers. A systolic longitudinal (SL) and radial (SR) peak is seen as well as an early diastolic (DL and DR) and atrial systolic (ASL and ASR) peak in each slice. Two systolic circumferential peaks are seen in each slice (C1 and C2) and a third peak is seen at base and apex in early diastole (C3). R2 and R3 show very similar values, indicating that the level of acceleration is not affecting velocity measurements.

Conclusions

The use of spiral trajectories, non-Cartesian SENSE and the Gadgetron GPU reconstruction framework has allowed the acquisition of high temporal resolution TPVM images within a breath-hold time that is easily achievable in the clinical environment (13 heartbeats), while reconstruction time is short enough to allow viewing at the time of scanning. The acceleration is not affecting peak velocity measurements (comparisons with previous unaccelerated spiral data [3] also suggest this).

Funding

NHIR CBRU, Royal Brompton Hospital. HRUK grant RG2584.

Authors’ Affiliations

(1)
Royal Brompton Hospital, Imperial College, London, UK
(2)
National Heart, Lung and Blood Institute, NIH, Bethesda, Maryland, USA

References

  1. Simpson, et al: JMRI. 2013Google Scholar
  2. Petersen, et al: Rad. 2006Google Scholar
  3. Lutz, et al: JCMR. 2012Google Scholar
  4. Simpson, et al: JCMR. 2013Google Scholar
  5. Hansen, et al: MRM. 2013Google Scholar

Copyright

© Simpson et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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