TY - CHAP
T1 - Whole-heart single breath-hold cardiac cine: A robust motion-compensated compressed sensing reconstruction method
AU - Royuela-del-Val, Javier
AU - Usman, Muhammad
AU - Cordero Grande, Lucilio
AU - Martín-Fernández, Marcos
AU - Simmross-Wattenberg, Federico
AU - Prieto Vasquez, Claudia
AU - Alberola-López, Carlos
PY - 2017/1/17
Y1 - 2017/1/17
N2 - In this paper we propose a methodology to achieve single breath-hold whole-heart cine MRI with a temporal resolution of ∼46 ms and a spatial resolution of 2 × 2 mm 2 out of a previously described method (JW-tTV) for single slice reconstruction. Its feasibility is tested by itself and in comparison with another state-of-the-art reconstruction method (MASTeR); both methods are adapted to Golden Radial k-space trajectories. From a formal viewpoint, we make use of a realistic numerical phantom to have a ground truth of deformation fields so that the methods performances against noise can be quantified and the sparsity regularization parameter involved in the reconstructions can be fixed according to the signal to noise ratio. Phantom results show that the adapted JW-tTV method is more robust against noise and provides more precise motion estimations and better reconstructions than MASTeR. Both methods are then applied to the reconstruction of 12–14 short axis slices covering the whole heart on eight volunteers. Finer details are better preserved with JW-tTV. Ventricle volumes and ejection fractions were computed from the volunteers data and preliminary results show agreement with conventional multiple breath-hold Cartesian acquisitions.
AB - In this paper we propose a methodology to achieve single breath-hold whole-heart cine MRI with a temporal resolution of ∼46 ms and a spatial resolution of 2 × 2 mm 2 out of a previously described method (JW-tTV) for single slice reconstruction. Its feasibility is tested by itself and in comparison with another state-of-the-art reconstruction method (MASTeR); both methods are adapted to Golden Radial k-space trajectories. From a formal viewpoint, we make use of a realistic numerical phantom to have a ground truth of deformation fields so that the methods performances against noise can be quantified and the sparsity regularization parameter involved in the reconstructions can be fixed according to the signal to noise ratio. Phantom results show that the adapted JW-tTV method is more robust against noise and provides more precise motion estimations and better reconstructions than MASTeR. Both methods are then applied to the reconstruction of 12–14 short axis slices covering the whole heart on eight volunteers. Finer details are better preserved with JW-tTV. Ventricle volumes and ejection fractions were computed from the volunteers data and preliminary results show agreement with conventional multiple breath-hold Cartesian acquisitions.
M3 - Conference paper
SN - 978-3-319-52279-1
VL - 10129
SP - 58
EP - 69
BT - RAMBO 2016/HVSMR 2016, Lecture Notes in Computer Science
ER -