Abstract

Methods Figure 1 shows the proposed CS reconstruction with CD sparsity for phase contrast MR. The objective function J = ‖FΩmi-yi‖2+l‖Ψmi‖1‖+lCD‖m1-m2‖1, where mi=1,2 are the two bipolar encoding acquisitions and |m1-m2| is the corresponding CD image, is used in the reconstruction. The reconstruction performs iteratively between two bipolar images. Every iteration, the recon of m1 makes the intermediate image of m1 and pass it to the recon of m2, which uses it for calculating CD image and makes the intermediate image of m2 and pass it back to the recon of m1. To evaluate the proposed method, phase contrast images were acquired using an axial slice of ascending aorta at the level of the bifurcation of the pulmonary artery. A retrospectively ECG-gated flowencoded 2D PC MRI pulse sequence was used with typical parameters of: FOV= 320×320 mm, resolution = 2.5ms x 2.5 ms, slice thickness = 6mm, TR/TE=15/ 6.5ms, flip angle= 30°, temporal resolution = 30ms, VENC = 300 cm/s. The under-sampling was performed retrospectively from a fully sampled data using a Gaussian random under-sampling for rates of 3 and 5. In an IRB approved study, 14 healthy adult subjects (5 males, 17-70 years) were recruited. Reconstructed images were compared with fully-sampled acquisition and CS without CD sparsity (i.e. lCD= 0).

Highlights

  • One of the major limitations of phase contrast imaging is its long scan time

  • The recon of m1 makes the intermediate image of m1 and pass it to the recon of m2, which uses it for calculating complex difference (CD) image and makes the intermediate image of m2 and pass it back to the recon of m1

  • To evaluate the proposed method, phase contrast images were acquired using an axial slice of ascending aorta at the level of the bifurcation of the pulmonary artery

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Summary

Background

One of the major limitations of phase contrast imaging is its long scan time. Compressed sensing (CS) has been recently utilized to reduce the scan time in phase contrast MR [1-3]. We propose an accelerated phase contrast MR approach in which sparsity of the complex difference (CD) image is used as the sparsifying transform to improve image reconstruction

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