TY - GEN
T1 - Flow analysis in cardiac chambers combining phase contrast, 3D tagged and cine MRI
AU - Chabiniok, Radomir
AU - Wong, James
AU - Giese, Daniel
AU - Nordsletten, David
AU - Shi, Wenzhe
AU - Greil, Gerald
AU - Rueckert, Daniel
AU - Razavi, Reza
AU - Schaeffter, Tobias
AU - Smith, Nic
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-38899-6_43
DO - 10.1007/978-3-642-38899-6_43
M3 - Conference contribution
AN - SCOPUS:84879824985
SN - 9783642388989
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 360
EP - 369
BT - Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
T2 - 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Y2 - 20 June 2013 through 22 June 2013
ER -