Accelerated three‐dimensional cine phase contrast imaging using randomly undersampled echo planar imaging with compressed sensing reconstruction

The aim of this study was to implement and evaluate an accelerated three‐dimensional (3D) cine phase contrast MRI sequence by combining a randomly sampled 3D k‐space acquisition sequence with an echo planar imaging (EPI) readout. An accelerated 3D cine phase contrast MRI sequence was implemented by combining EPI readout with randomly undersampled 3D k‐space data suitable for compressed sensing (CS) reconstruction. The undersampled data were then reconstructed using low‐dimensional structural self‐learning and thresholding (LOST). 3D phase contrast MRI was acquired in 11 healthy adults using an overall acceleration of 7 (EPI factor of 3 and CS rate of 3). For comparison, a single two‐dimensional (2D) cine phase contrast scan was also performed with sensitivity encoding (SENSE) rate 2 and approximately at the level of the pulmonary artery bifurcation. The stroke volume and mean velocity in both the ascending and descending aorta were measured and compared between two sequences using Bland–Altman plots. An average scan time of 3 min and 30 s, corresponding to an acceleration rate of 7, was achieved for 3D cine phase contrast scan with one direction flow encoding, voxel size of 2 × 2 × 3 mm³, foot–head coverage of 6 cm and temporal resolution of 30 ms. The mean velocity and stroke volume in both the ascending and descending aorta were statistically equivalent between the proposed 3D sequence and the standard 2D cine phase contrast sequence. The combination of EPI with a randomly undersampled 3D k‐space sampling sequence using LOST reconstruction allows a seven‐fold reduction in scan time of 3D cine phase contrast MRI without compromising blood flow quantification. Copyright © 2014 John Wiley & Sons, Ltd.     

Simultaneous measurement of T1/B1 and pharmacokinetic model parameters using active contrast encoding (ACE)‐MRI

The aim of this study was to assess the feasibility of combining dynamic contrast enhanced‐magnetic resonance imaging (DCE‐MRI) with the measurement of the radiofrequency (RF) transmit field B ₁ and pre‐contrast longitudinal relaxation time T ₁₀. A novel approach has been proposed to simultaneously estimate B ₁ and T ₁₀ from a modified DCE‐MRI scan that actively encodes the washout phase of the curve with different amounts of T ₁ and B ₁ weighting using multiple flip angles and repetition times, hence referred to as active contrast encoding (ACE)‐MRI. ACE‐MRI aims to simultaneously measure B ₁ and T ₁₀, together with contrast kinetic parameters, such as the transfer constant K ^trans, interstitial space volume fraction v _e and vascular space volume fraction v _p. The proposed method was tested using numerical simulations and in vivo studies with mouse models of breast cancer implanted in the flank and mammary fat pad, and glioma in the brain. In the numerical simulation study with a signal‐to‐noise ratio of 10, both B ₁ and T ₁₀ were estimated accurately with errors of 5.1 ± 3.5% and 12.3 ± 8.8% and coefficients of variation (CV) of 14.9 ± 8.6% and 15.0 ± 5.0%, respectively. Using the same ACE‐MRI data, the kinetic parameters K ^trans, v _e and v _p were also estimated with errors of 14.2 ± 8.3% (CV = 13.5 ± 4.6%), 14.7 ± 9.9% (CV = 13.3 ± 4.5%) and 14.0 ± 9.3% (CV = 14.0 ± 4.5%), respectively. For the in vivo tumor data from 11 mice, voxel‐wise comparisons between ACE‐MRI and DCE‐MRI methods showed that the mean differences for the five parameters were as follows: ΔK ^trans = 0.006 (/min), Δv _e = 0.016, Δv _p = 0.000, ΔB ₁ = ?0.014 and ΔT ₁ = ?0.085 (s), which suggests a good agreement between the two methods. When compared with separately measured B ₁ and T ₁₀, and DCE‐MRI estimated kinetic parameters as a reference, the mean relative errors of ACE‐MRI estimation were B ₁ = ?0.3%, T ₁₀ = ?8.5%, K ^trans = 11.4%, v _e = 14.5% and v _p = 4.5%. This proof‐of‐concept study demonstrates that the proposed ACE‐MRI method can be used to estimate B ₁ and T ₁₀, together with contrast kinetic model parameters.