Spiral tissue phase velocity mapping in a breath‐hold with non‐cartesian SENSE

Simpson, Robin; Keegan, Jennifer; Gatehouse, Peter; Hansen, Michael S.; Firmin, David N.

doi:10.1002/mrm.24971

Cited by 22 publications

(26 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar reduction in the peak velocities have also be reported earlier for SENSE (12) or kt-BLAST (11) in combination with high undersampling factors. No significant differences in peak velocities were found in spiral TPM (13) for low undersampling factors of R ¼ 2 and R ¼ 2.67, which is in line with the findings of this study, because low undersampling requires little regularization, especially for trajectories where the k-space center is still almost fully covered.…”

Section: Velocity Analysissupporting

confidence: 91%

Self‐gated tissue phase mapping using golden angle radial sparse SENSE

Paul

Wundrak

Bernhardt

et al. 2015

Magnetic Resonance in Med

View full text Add to dashboard Cite

show abstract

Section: Velocity Analysissupporting

confidence: 91%

Self‐gated tissue phase mapping using golden angle radial sparse SENSE

Paul

Wundrak

Bernhardt

et al. 2015

Magnetic Resonance in Med

View full text Add to dashboard Cite

show abstract

“…In addition, the application of new multi-dimensional image acquisition acceleration techniques, such as k – t acceleration [19] or compressed sensing [23] or efficient non-Cartesian k-space sampling such as spiral data readouts [9] have helped to significantly reduce TPM acquisition time. In comparison to previously reported results, all data in this study was based on k – t accelerated TPM which was performed during a single breath-hold for each slice.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility and observer variability of tissue phase mapping for the quantification of regional myocardial velocities

Lin

Chowdhary

Benzuly

et al. 2016

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

To systematically investigate the reproducibility of global and segmental left ventricular (LV) velocities derived from tissue phase mapping (TPM). Breath held and ECG synchronized TPM data (spatial/temporal resolution = 2 × 2 mm2/20.8 ms) were acquired in 18 healthy volunteers. To analyze scan–rescan variability, TPM was repeated in all subjects during a second visit separated by 16 ± 5 days. Data analysis included LV segmentation, and quantification of global and regional (AHA 16-segment modal) metrics of LV function [velocity–time curves, systolic and diastolic peak and time-to-peak (TTP) velocities] for radial (Vr), long-axis (Vz) and circumferential (VΦ) LV velocities. Mean velocity time curves in basal, mid-ventricular, and apical locations showed highly similar LV motion patterns for all three velocity components (Vr, VΦ, Vz) for scan and rescan. No significant differences for both systolic and diastolic peak and TTP myocardial velocities were observed. Segmental analysis revealed similar regional peak Vr and Vz during both systole and diastole except for three LV segments (p = 0.045, p = 0.033, and p = 0.009). Excellent (p < 0.001) correlations between scans and rescan for peak Vr (R2 = 0.92), peak Vz (R2 = 0.90), radial TTP (R2 = 0.91) and long-axis TTP (R2 = 0.88) confirmed good agreement. Bland–Altman analysis demonstrated excellent intra-observer and good inter-observer analysis agreement but increased variability for long axis peak velocities. TPM based analysis of global and regional myocardial velocities can be performed with good reproducibility. Robustness of regional quantification of long-axis velocities was limited but spatial velocity distributions across the LV could reliably be replicated.

show abstract

“…Non-Cartesian SENSE has been used to speed up spiral 2D PC-MRI measurements of myocardial velocities [141], however, this method suffers from long reconstruction times [142][143]. Another appealing approach is to use variable density spirals and compressed sensing, which has shown promising results for functional MRI [144].…”

Section: Future Workmentioning

confidence: 99%

Fast and Accurate 4D Flow MRI for Cardiovascular Blood Flow Assessment

Petersson¹

2013

View full text Add to dashboard Cite

The study of blood flow is essential in understanding the physiology and pathophysiology of the cardiovascular system. Small disturbances of the blood flow may over time evolve and contribute to cardiovascular pathology. While the blood flow in a healthy human appears to be predominately laminar, turbulent or transitional blood flow is thought to be involved in the pathogenesis of several cardiovascular diseases. Wall shear stress is the frictional force of blood on the vessel wall and has been linked to the pathogenesis of atherosclerosis and aneurysms. Despite the importance of hemodynamic factors, cardiovascular diagnostics largely relies on the indirect estimation of function based on morphological data.Time-resolved three-dimensional (3D) phase-contrast magnetic resonance imaging (MRI), often referred to as 4D flow MRI, is a versatile and non-invasive tool for cardiovascular blood flow assessment. The use of 4D flow MRI permits estimation of flow volumes, pressure losses, wall shear stress, turbulence intensity and many other unique hemodynamic parameters. However, 4D flow MRI suffers from long scan times, sometimes over 40 minutes. Furthermore, the accuracy of the many different 4D flow MRI-based applications and estimates have not been thoroughly examined.In this thesis, the accuracy of 4D flow MRI-based turbulence intensity mapping and wall shear stress estimation was investigated by using numerical simulations of MRI flow measurements. While the results from the turbulence intensity mapping agreed well with reference values from computational fluid dynamics data, the accuracy of the MRI-based wall shear stress estimates was found to be very sensitive to different parameters, especially to spatial resolution, and wall shear stress values over 5 N/m 2 were not well resolved.To reduce the scan time, a 4D flow MRI sequence using spiral k-space trajectories was implemented and validated in-vivo and in-vitro. The scan time of 4D flow MRI was reduced by more than two-fold compared to a conventional Cartesian acquisition already accelerated using SENSE factor 2, and the data quality was maintained. For a 4D flow scan of the human heart, the use of spiral k-space trajectories resulted in a scan time of around 13 min, compared to 30 min for the Cartesian acquisition. By combining parallel imaging and spiral trajectories, the total scan time of a 4D flow measurement of the entire heart may be further reduced. This scan time reduction may also be traded for higher spatial resolution.Numerical simulation of 4D flow MRI may act as an important tool for future optimization and validation of the spiral 4D flow sequence. The scan-time reductions offered by the spiral k-space trajectories can help to cut costs, save time, reduce discomfort for the patient as well as to decrease the risk for motion artifacts. These benefits may facilitate an expanded clinical and investigative use of 4D flow MRI, including larger patient research studies.v Populärvetenskaplig sammanfattningHjärt-och kärlsjukdom är fortfarande den ...

show abstract

Spiral tissue phase velocity mapping in a breath‐hold with non‐cartesian SENSE

Cited by 22 publications

References 25 publications

Self‐gated tissue phase mapping using golden angle radial sparse SENSE

Self‐gated tissue phase mapping using golden angle radial sparse SENSE

Reproducibility and observer variability of tissue phase mapping for the quantification of regional myocardial velocities

Fast and Accurate 4D Flow MRI for Cardiovascular Blood Flow Assessment

Contact Info

Product

Resources

About