Accurate determination of patient‐specific boundary conditions in computational vascular hemodynamics using 3D cine phase‐contrast MRI

Ônishi, Yoshihiro; Aoki, Kumiko; Amaya, Kenji; Shimizu, Toshiyasu; Isoda, Haruo; Takehara, Yasuo; Sakahara, Harumi; Kosugi, Tadayoshi

doi:10.1002/cnm.2562

Cited by 14 publications

(10 citation statements)

References 31 publications

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“…In this regard, there have been several patient-specific CFD studies on cerebral arterial flows involving a cerebral aneurysm, [3][4][5][6] which have included proposed risk assessments of aneurysm rupture [7][8][9] by enforcing the inlet flow rate evaluated by the velocity field of the PC-MRI measurement. However, the reconstructed flow fields in the PC-MRI data are usually unacceptable because the relatively large measurement noise, 10 low spatial resolution with respect to the size of cerebral vasculature, and physically inconsistent fields. Thus, the estimated inlet flow rate based on the PC-MRI velocity is also unacceptable, and it results in an unrealistic CFD solution.…”

Section: Introductionmentioning

confidence: 99%

Physically consistent data assimilation method based on feedback control for patient‐specific blood flow analysis

Satoshi

Adib

Watanabe

et al. 2017

Numer Methods Biomed Eng

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This paper presents a novel data assimilation method for patient-specific blood flow analysis based on feedback control theory called the physically consistent feedback control-based data assimilation (PFC-DA) method. In the PFC-DA method, the signal, which is the residual error term of the velocity when comparing the numerical and reference measurement data, is cast as a source term in a Poisson equation for the scalar potential field that induces flow in a closed system. The pressure values at the inlet and outlet boundaries are recursively calculated by this scalar potential field. Hence, the flow field is physically consistent because it is driven by the calculated inlet and outlet pressures, without any artificial body forces. As compared with existing variational approaches, although this PFC-DA method does not guarantee the optimal solution, only one additional Poisson equation for the scalar potential field is required, providing a remarkable improvement for such a small additional computational cost at every iteration. Through numerical examples for 2D and 3D exact flow fields, with both noise-free and noisy reference data as well as a blood flow analysis on a cerebral aneurysm using actual patient data, the robustness and accuracy of this approach is shown. Moreover, the feasibility of a patient-specific practical blood flow analysis is demonstrated.

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Section: Introductionmentioning

confidence: 99%

Physically consistent data assimilation method based on feedback control for patient‐specific blood flow analysis

Satoshi

Adib

Watanabe

et al. 2017

Numer Methods Biomed Eng

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“…A number of new techniques such as phase contrast MRI enable derivation of accurate time dependent boundary conditions 97 and may even suppress the need for multi-scale descriptions at the global system scale. However this argument does not apply when future surgical interventions on existing anatomy are to be analyzed.…”

Section: Cardiovascular Fluid Mechanicsmentioning

confidence: 99%

Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention

et al. 2016

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Cardiovascular diseases (CVDs) are the leading cause of death in the western world. With the current development of clinical diagnostics to more accurately measure the extent and specifics of CVDs, a laudable goal is a better understanding of the structure-function relation in the cardiovascular system. Much of this fundamental understanding comes from the development and study of models that integrate biology, medicine, imaging, and biomechanics. Information from these models provides guidance for developing diagnostics, and implementation of these diagnostics to the clinical setting, in turn, provides data for refining the models. In this review, we introduce multi-scale and multi-physical models for understanding disease development, progression, and designing clinical interventions. We begin with multi-scale models of cardiac electrophysiology and mechanics for diagnosis, clinical decision support, personalized and precision medicine in cardiology with examples in arrhythmia and heart failure. We then introduce computational models of vasculature mechanics and associated mechanical forces for understanding vascular disease progression, designing clinical interventions, and elucidating mechanisms that underlie diverse vascular conditions. We conclude with a discussion of barriers that must be overcome to provide enhanced insights, predictions, and decisions in pre-clinical and clinical applications.

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“…We used the pulsatile VFR of the inlet and outlets obtained by MRFD mentioned above as the inlet and outlet patient-specific boundary conditions. 10 We calculated CFD using 20 steps per one cardiac cycle with convergent calculation. Calculation of CFD was about 3 hours using a 3.1-GHz based on their definitions shown in the appendix.…”

Section: Case Reportmentioning

confidence: 99%

MR-based Computational Fluid Dynamics with Patient-specific Boundary Conditions for the Initiation of a Sidewall Aneurysm of a Basilar Artery

et al. 2015

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We performed 3-dimensional cine phase-contrast magnetic resonance-based computational fluid dynamics for a basilar artery that developed a sidewall aneurysm over a 25-month period. There was an area with high gradient oscillatory number in the location of the future aneurysm ostium and an area with high wall shear stress (WSS) and high spatial WSS gradient at the distal edge of the future aneurysm. These could be biomarkers for development of intracranial aneurysms.Keywords: computational fluid dynamics, hemodynamics, intracranial aneurysms, magnetic resonance fluid dynamics, wall shear stress (WSS) IntroductionHemodynamics is thought to play very important roles in the initiation, progression, and rupture of intracranial aneurysms. The formation and regression of a flow-related cerebral aneurysm has been reported. 1 Although an area of relatively low and rotating wall shear stress (WSS) may cause an aneurysm to form, 2 high WSS is a more likely cause.3 Recently proposed initiating causes of intracranial aneurysms include high WSS and high spatial WSS gradient (SWSSG) 4 -6 or high gradient oscillatory number (GON), 6,7 the index for the temporal fluctuation of the SWSSG over the cardiac cycle.We performed 3-dimensional (3D) cine phasecontrast (PC) magnetic resonance (MR)-based computational fluid dynamics (CFD) with patient-specific boundary conditions for a basilar artery that developed a sidewall aneurysm at the ventral aspect of its distal portion over a 25-month period, and we investigated whether an area with high WSS and SWSSG or an area with high GON was present in and around the location of the aneurysm before it formed to predict future development of intracranial aneurysms. Case ReportOur institutional review board approved this study, and we obtained informed consent from the subject.An 88-year-old woman with heaviness of the head underwent MR examination including 3D time-of-flight (TOF) MR angiography (MRA) using *Corresponding author, Phone: +81-52-719-3154, Fax: +81-52-719-1509, E-mail: isoda@met.nagoya-u.ac.jp Magn Reson Med Sci, Vol. 14, No. 2, pp. 139-144, 2015 ©2015 (0.37 © 1 © 0.5 mm 3 with ZIP); bandwidth, 41.67 kHz; and imaging time, 5 min 29 s. Three-dimensional TOF MRA showed a 4-mm aneurysm at the bifurcation of the right middle cerebellar artery (MCA), a 3-mm aneurysm at the M1 segment of the left MCA, and ventral curving of the basilar artery without a distinct aneurysm (Fig. 1A, B). Because of the patient's age, her doctors determined that she should be followed closely without therapy.She underwent follow-up MR examination including 3D TOF MRA and 3D cine PC MR imaging 25 months after the initial examination. Imaging parameters for 3D TOF MRA were the same as those used previously; parameters for 3D cine PC MR imaging 8 were: TR/TE/NEX, 5.3 ms/2.3 ms/ 1; FA, 12 degrees; slab orientation, transaxial; FOV, 160 © 160 © 30 mm 3 ; matrix, 160 © 160 © 30 (160 © 160 © 60 with ZIP); voxel size, 1 © 1 © 1 mm 3 (1 © 1 © 0.5 mm 3 with ZIP); bandwidth, 62.5 kHz; number of phases, 20; velocit...

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Accurate determination of patient‐specific boundary conditions in computational vascular hemodynamics using 3D cine phase‐contrast MRI

Cited by 14 publications

References 31 publications

Physically consistent data assimilation method based on feedback control for patient‐specific blood flow analysis

Physically consistent data assimilation method based on feedback control for patient‐specific blood flow analysis

Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention

MR-based Computational Fluid Dynamics with Patient-specific Boundary Conditions for the Initiation of a Sidewall Aneurysm of a Basilar Artery

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