PMID- 31698232
OWN - NLM
STAT- MEDLINE
DCOM- 20200922
LR  - 20200922
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Linking)
VI  - 115
DP  - 2019 Dec
TI  - Transient flow prediction in an idealized aneurysm geometry using data 
      assimilation.
PG  - 103507
LID - S0010-4825(19)30371-3 [pii]
LID - 10.1016/j.compbiomed.2019.103507 [doi]
AB  - Hemodynamic simulations are restricted by modeling assumptions and uncertain 
      initial and boundary conditions, whereas Phase-Contrast Magnetic Resonance 
      Imaging (PC-MRI) data is affected by measurement noise and artifacts. To overcome 
      the limitations of both techniques, the current study uses a Localization 
      Ensemble Transform Kalman Filter (LETKF) to fully incorporate noisy, 
      low-resolution Phase-Contrast MRI data into an ensemble of high-resolution 
      numerical simulations. The analysis output provides an improved state estimate of 
      the three-dimensional blood flow field in an intracranial aneurysm model. 
      Benchmark measurements are carried out in a silicone phantom model of an 
      idealized aneurysm under pulsatile inflow conditions. Validation is ensured with 
      high-resolution Particle Imaging Velocimetry (PIV) obtained in the symmetry plane 
      of the same geometry. Two data assimilation approaches are introduced, which 
      differ in their way to propagate the ensemble members in time. In both cases the 
      velocity noise is significantly reduced over the whole cardiac cycle. 
      Quantitative and qualitative results indicate an improvement of the flow field 
      prediction in comparison to the raw measurement data. Although biased measurement 
      data reveal a systematic deviation from the truth, the LETKF is able to account 
      for stochastically distributed errors. Through the implementation of the data 
      assimilation step, physical constraints are introduced into the raw measurement 
      data. The resulting, realistic high-resolution flow field can be readily used to 
      assess further patient-specific parameters in addition to the velocity 
      distribution, such as wall shear stress or pressure.
CI  - Copyright (c) 2019 Elsevier Ltd. All rights reserved.
FAU - Gaidzik, Franziska
AU  - Gaidzik F
AD  - Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University 
      Magdeburg, Germany.
FAU - Stucht, Daniel
AU  - Stucht D
AD  - Institute of Experimental Physics, Otto von Guericke University Magdeburg, 
      Germany; Institute of Biometry and Medical Informatics, Otto von Guericke 
      University Magdeburg, Germany.
FAU - Roloff, Christoph
AU  - Roloff C
AD  - Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University 
      Magdeburg, Germany.
FAU - Speck, Oliver
AU  - Speck O
AD  - Institute of Experimental Physics, Otto von Guericke University Magdeburg, 
      Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany.
FAU - Thevenin, Dominique
AU  - Thevenin D
AD  - Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University 
      Magdeburg, Germany.
FAU - Janiga, Gabor
AU  - Janiga G
AD  - Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University 
      Magdeburg, Germany. Electronic address: janiga@ovgu.de.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20191016
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - Blood Flow Velocity
MH  - *Computer Simulation
MH  - Humans
MH  - Intracranial Aneurysm/diagnostic imaging/*physiopathology
MH  - Magnetic Resonance Imaging
MH  - *Models, Cardiovascular
MH  - *Pulsatile Flow
OTO - NOTNLM
OT  - 4D flow
OT  - Data assimilation
OT  - Ensemble Kalman Filter
OT  - Intracranial aneurysm
OT  - PC-MRI
EDAT- 2019/11/08 06:00
MHDA- 2020/09/23 06:00
CRDT- 2019/11/08 06:00
PHST- 2019/07/09 00:00 [received]
PHST- 2019/09/27 00:00 [revised]
PHST- 2019/10/12 00:00 [accepted]
PHST- 2019/11/08 06:00 [pubmed]
PHST- 2020/09/23 06:00 [medline]
PHST- 2019/11/08 06:00 [entrez]
AID - S0010-4825(19)30371-3 [pii]
AID - 10.1016/j.compbiomed.2019.103507 [doi]
PST - ppublish
SO  - Comput Biol Med. 2019 Dec;115:103507. doi: 10.1016/j.compbiomed.2019.103507. Epub 
      2019 Oct 16.