- Poster presentation
- Open Access
Breath-hold spiral tissue phase velocity mapping (TPVM) with non-Cartesian SENSE
© Simpson et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Short Axis Slice
- Coil Sensitivity
- Entire Cardiac Cycle
- Royal Brompton Hospital
- Late Stage Patient
TPVM is the only MR technique capable of measuring regional myocardial mechanics over the entire cardiac cycle [1, 2]. Previous Cartesian breath-hold TPVM sequences have had low temporal resolution (eg ), limiting temporal detail, while navigator sequences are long and difficult to use clinically. This abstract presents a new spiral TPVM sequence which is capable of acquiring high temporal resolution TPVM data over the entire cardiac cycle within a clinically acceptable breath-hold duration.
K-space is fully sampled with 8 spiral interleaves (14 ms duration, TR 24 ms) but only 3 spirals are acquired and reconstructed using non-Cartesian SENSE  implemented on the Gadgetron GPU framework . Velocity compensated and encoded (30 cm/s through plane, 20 cm/s in-plane) data are acquired in consecutive heartbeats, with an initial heartbeat used to collect coil sensitivity information (total breath-hold duration 13 heartbeats). Acquired spatial resolution is 1.7 × 1.7 mm. Retrospective cardiac gating is used to cover the entire cycle (50 reconstructed phases). Basal, mid and apical short-axis slices were acquired in 10 volunteers and from the mid-slice of 1 early stage DCM patient (LVEF 49%, EDV 188 mL, ESV 96 mL) and one late stage DCM patient (LVEF 21%, EDV 326 mL, ESV 258 mL) on a Siemens Skyra 3T scanner. Global peak and time to peak (TTP) velocities were extracted. In one healthy volunteer a stack of 9 short axis slices were also acquired, providing full LV coverage.
Spiral trajectories and non-Cartesian SENSE has allowed acquisition of high temporal resolution TPVM images within a clinically achievable breath-hold and allows acquisition and reconstruction of a full short axis stack within 30 minutes. Initial clinical examples indicate that this technique is capable of detecting reduced radial velocities in early DCM when global parameters of motion are still within the normal range.
HRUK Grant RG2584. NHLI CBRU Royal Brompton Hospital and Imperial College.
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