PMID- 30825770
OWN - NLM
STAT- MEDLINE
DCOM- 20200902
LR  - 20200902
IS  - 1879-0771 (Electronic)
IS  - 0895-6111 (Linking)
VI  - 73
DP  - 2019 Apr
TI  - Novel feature-based visualization of the unsteady blood flow in intracranial 
      aneurysms with the help of proper orthogonal decomposition (POD).
PG  - 30-38
LID - S0895-6111(18)30365-3 [pii]
LID - 10.1016/j.compmedimag.2019.01.001 [doi]
AB  - The recognition and interpretation of pulsatile subject-specific blood flow is a 
      challenging task. Animations of various quantities - such as blood flow velocity, 
      pressure, or wall shear stress - can be depicted to visualize the complex 
      time-varying flow features, normally in a region of interest. Traditional 
      visualization methods however can hardly convey the dynamic information of the 
      system. Proper orthogonal decomposition (POD), a mathematical tool, allows for 
      the complex spatial-temporal information to be decomposed into individual spatial 
      modes. In the present study, the most energetic blood flow features are extracted 
      with the help of POD analysis. The first mode, representing the most energetic 
      flow feature, characterizes the temporal mean of the flow velocity. It is 
      considered as the primary flow. The second most energetic mode corresponds to the 
      secondary flow features. Visualization techniques combining the primary and the 
      secondary flows are suggested in the present paper in order to create a 
      simplified visualization of the unsteady blood flow. The methods are presented 
      for intracranial aneurysms for both measured as well as simulated data, 
      illustrating the application for Phase-Contrast Magnetic Resonance Imaging 
      (PC-MRI) and computational fluid dynamics (CFD) results.
CI  - Copyright (c) 2019 Elsevier Ltd. All rights reserved.
FAU - Janiga, Gabor
AU  - Janiga G
AD  - Lab. of Fluid Dynamics and Technical Flows, University of Magdeburg "Otto von 
      Guericke", Universitatsplatz 2, Magdeburg D-39106, Germany. Electronic address: 
      janiga@ovgu.de.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190126
PL  - United States
TA  - Comput Med Imaging Graph
JT  - Computerized medical imaging and graphics : the official journal of the 
      Computerized Medical Imaging Society
JID - 8806104
SB  - IM
MH  - Cerebrovascular Circulation/*physiology
MH  - Female
MH  - Humans
MH  - *Hydrodynamics
MH  - Imaging, Three-Dimensional
MH  - Intracranial Aneurysm/*physiopathology
MH  - Middle Aged
MH  - Pulsatile Flow/physiology
OTO - NOTNLM
OT  - Computational fluid dynamics (CFD)
OT  - Feature-based flow visualization
OT  - Intracranial aneurysms
OT  - Proper orthogonal decomposition (POD)
EDAT- 2019/03/03 06:00
MHDA- 2020/09/04 06:00
CRDT- 2019/03/03 06:00
PHST- 2018/06/19 00:00 [received]
PHST- 2018/12/07 00:00 [revised]
PHST- 2019/01/11 00:00 [accepted]
PHST- 2019/03/03 06:00 [pubmed]
PHST- 2020/09/04 06:00 [medline]
PHST- 2019/03/03 06:00 [entrez]
AID - S0895-6111(18)30365-3 [pii]
AID - 10.1016/j.compmedimag.2019.01.001 [doi]
PST - ppublish
SO  - Comput Med Imaging Graph. 2019 Apr;73:30-38. doi: 
      10.1016/j.compmedimag.2019.01.001. Epub 2019 Jan 26.