Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method

Royuela-del-Val, Javier; Usman, Muhammad; Cordero-Grande, Lucilio; Martin-Fernandez, Marcos; Simmross-Wattenberg, Federico; Prieto, Claudia; Alberola-Lopez, Carlos; Zuluaga, MA; Bhatia, K; Kainz, B; Moghari, MH; Pace, DF

Abstract

In this paper we propose a methodology to achieve single breath-hold whole-heart cine MRI with a temporal resolution of similar to 46 ms and a spatial resolution of 2x2mm(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.

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Título según WOS: ID WOS:000425523400006 Not found in local WOS DB
Título de la Revista: LEARNING AND INTELLIGENT OPTIMIZATION, LION 15
Volumen: 10129
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2017
Página de inicio: 58
Página final: 69
DOI:

10.1007/978-3-319-52280-7_6

Notas: ISI