Flow analysis in cardiac chambers combining phase contrast, 3D tagged and cine MRI

Authors:
Radomir Chabiniok;James Wong;Daniel Giese;David Nordsletten;Wenzhe Shi;Gerald Greil;Daniel Rueckert;Reza Razavi;Tobias Schaeffter;Nic Smith
Affiliations:
Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Department of Computing, Imperial College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Department of Computing, Imperial College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK;Division of Imaging Sciences & Biomedical Engineering, St. Thomas' Hospital, King's College London, UK
Venue:
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Year:
2013

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Abstract

Accelerated methods for acquiring phase contrast (PC) MRI allow the acquisition of 4D flow data of the whole heart in clinically acceptable times. These datasets are becoming interesting both for clinicians --- to better stratify diagnosis --- and in the modeling community --- to constrain patient-specific models. One of the difficulties related to PC data is a limited accuracy in the regions of low flow such as close to the myocardial wall, where the velocity field may even produce observed blood motion across the endocardial surface. To address this issue we propose to constrain the motion of blood in cavity during the analysis by using cine MRI and replacing the PC velocity in the peri-myocardial zone by neighboring tissue velocity obtained by analysis of 3D tagged MRI. We demonstrate the effect of these corrections on 2 healthy volunteer datasets and on one patient with a hypoplastic left ventricle.