- Oral presentation
- Open Access
High resolution spiral myocardial phase velocity mapping (PVM) of the entire cardiac cycle
© Simpson et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Cardiac Cycle
- Entire Cardiac Cycle
- Retrospective Gating
- Atrial Systole
- Phase Velocity Mapping
Three-directional PVM is capable of measuring regional myocardial velocities. Current techniques use Cartesian k-space coverage, and navigator-gated high spatial and temporal resolution acquisitions are long [1, 2]. In addition, they use prospective ECG-gating and analysis of the full cardiac cycle is not possible. The aim of this study is to develop a high temporal and spatial resolution PVM technique using efficient spiral k-space coverage and retrospective ECG-gating which will allow detailed analysis of the entire cardiac cycle, including atrial systole which accounts for 20-30% of left-ventricular filling in healthy motion .
K-space is covered with 13 spiral interleaves (12ms duration, TR 21ms). Navigator-gated reference and 3-directional velocity-encoded data (15cm/s in-plane, 25cm/s through-plane) are acquired in consecutive cardiac cycles following a single dummy cycle (nominal duration 53 cardiac cycles). The acquired spatial resolution is 1.4x1.4x8mm (reconstructed to 0.7x0.7mm). Retrospective gating allows full coverage of the cardiac cycle with 60 phases per RR-interval (reconstructed temporal resolution 14-20ms depending on heart-rate). Basal, mid and apical short-axis slices were acquired in 10 healthy volunteers on a Siemens Skyra 3Tesla scanner. Radial, circumferential and longitudinal velocities were extracted and early systolic, early diastolic and late diastolic (atrial systole) peak velocities and times to those peak (TTP) velocities were measured.
Spiral imaging has allowed the acquisition of high resolution PVM images in a relatively short acquisition time. Retrospective gating has enabled the analysis of late diastole (atrial systole). The colour plots allow easy interpretation of complicated regional motion patterns. Future work will include implementing parallel imaging to further speed up the acquisition.
The authors acknowledge the support of Heart Research UK, Imperial College London and NIHR Royal Brompton Cardiovascular Biomedical Research Unit.
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