Strategy for analysis of flow diverting devices based on multi-modality image-based modeling

Juan R. Cebral, Fernando Mut, Marcelo Raschi, Yong Hong Ding, Ramanathan D Kadirvel, David F Kallmes

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Quantification and characterization of the hemodynamic environment created after flow diversion treatment of cerebral aneurysms is important to understand the effects of flow diverters and their interactions with the biology of the aneurysm wall and the thrombosis process that takes place subsequently. This paper describes the construction of multi-modality image-based subject-specific CFD models of experimentally created aneurysms in rabbits and subsequently treated with flow diverters. Briefly, anatomical models were constructed from 3D rotational angiography images, flow conditions were derived from Doppler ultrasound measurements, stent models were created and virtually deployed, and the results were compared with in vivo digital subtraction angiography and Doppler ultrasound images. The models were capable of reproducing in vivoobservations, including velocity waveforms measured in the parent artery, peak velocity values measured in the aneurysm, and flow structures observed with digital subtraction angiography before and after deployment of flow diverters. The results indicate that regions of aneurysm occlusion after flow diversion coincide with slow and smooth flow patterns, whereas regions still permeable at the time of animal sacrifice were observed in parts of the aneurysm exposed to larger flow activity, that is, higher velocities, more swirling, and more complex flow structures.

Original languageEnglish (US)
Pages (from-to)951-968
Number of pages18
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume30
Issue number10
DOIs
StatePublished - Oct 1 2014

Fingerprint

Multimodality
Aneurysm
Angiography
Equipment and Supplies
Flow structure
Doppler Ultrasonography
Modeling
Digital Subtraction Angiography
Ultrasonics
Stents
Hemodynamics
Anatomic Models
Subtraction
Flow patterns
Doppler
Intracranial Aneurysm
Computational fluid dynamics
Animals
Thrombosis
Cerebral Aneurysm

Keywords

  • Cerebral aneurysm
  • CFD
  • Flow diversion
  • Hemodynamics
  • Rabbit model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Molecular Biology
  • Computational Theory and Mathematics
  • Software
  • Applied Mathematics
  • Modeling and Simulation

Cite this

Strategy for analysis of flow diverting devices based on multi-modality image-based modeling. / Cebral, Juan R.; Mut, Fernando; Raschi, Marcelo; Ding, Yong Hong; Kadirvel, Ramanathan D; Kallmes, David F.

In: International Journal for Numerical Methods in Biomedical Engineering, Vol. 30, No. 10, 01.10.2014, p. 951-968.

Research output: Contribution to journalArticle

@article{8b9b753031964b78bffc8f8f5e769078,
title = "Strategy for analysis of flow diverting devices based on multi-modality image-based modeling",
abstract = "Quantification and characterization of the hemodynamic environment created after flow diversion treatment of cerebral aneurysms is important to understand the effects of flow diverters and their interactions with the biology of the aneurysm wall and the thrombosis process that takes place subsequently. This paper describes the construction of multi-modality image-based subject-specific CFD models of experimentally created aneurysms in rabbits and subsequently treated with flow diverters. Briefly, anatomical models were constructed from 3D rotational angiography images, flow conditions were derived from Doppler ultrasound measurements, stent models were created and virtually deployed, and the results were compared with in vivo digital subtraction angiography and Doppler ultrasound images. The models were capable of reproducing in vivoobservations, including velocity waveforms measured in the parent artery, peak velocity values measured in the aneurysm, and flow structures observed with digital subtraction angiography before and after deployment of flow diverters. The results indicate that regions of aneurysm occlusion after flow diversion coincide with slow and smooth flow patterns, whereas regions still permeable at the time of animal sacrifice were observed in parts of the aneurysm exposed to larger flow activity, that is, higher velocities, more swirling, and more complex flow structures.",
keywords = "Cerebral aneurysm, CFD, Flow diversion, Hemodynamics, Rabbit model",
author = "Cebral, {Juan R.} and Fernando Mut and Marcelo Raschi and Ding, {Yong Hong} and Kadirvel, {Ramanathan D} and Kallmes, {David F}",
year = "2014",
month = "10",
day = "1",
doi = "10.1002/cnm.2638",
language = "English (US)",
volume = "30",
pages = "951--968",
journal = "International Journal for Numerical Methods in Biomedical Engineering",
issn = "2040-7939",
publisher = "Wiley-Blackwell",
number = "10",

}

TY - JOUR

T1 - Strategy for analysis of flow diverting devices based on multi-modality image-based modeling

AU - Cebral, Juan R.

AU - Mut, Fernando

AU - Raschi, Marcelo

AU - Ding, Yong Hong

AU - Kadirvel, Ramanathan D

AU - Kallmes, David F

PY - 2014/10/1

Y1 - 2014/10/1

N2 - Quantification and characterization of the hemodynamic environment created after flow diversion treatment of cerebral aneurysms is important to understand the effects of flow diverters and their interactions with the biology of the aneurysm wall and the thrombosis process that takes place subsequently. This paper describes the construction of multi-modality image-based subject-specific CFD models of experimentally created aneurysms in rabbits and subsequently treated with flow diverters. Briefly, anatomical models were constructed from 3D rotational angiography images, flow conditions were derived from Doppler ultrasound measurements, stent models were created and virtually deployed, and the results were compared with in vivo digital subtraction angiography and Doppler ultrasound images. The models were capable of reproducing in vivoobservations, including velocity waveforms measured in the parent artery, peak velocity values measured in the aneurysm, and flow structures observed with digital subtraction angiography before and after deployment of flow diverters. The results indicate that regions of aneurysm occlusion after flow diversion coincide with slow and smooth flow patterns, whereas regions still permeable at the time of animal sacrifice were observed in parts of the aneurysm exposed to larger flow activity, that is, higher velocities, more swirling, and more complex flow structures.

AB - Quantification and characterization of the hemodynamic environment created after flow diversion treatment of cerebral aneurysms is important to understand the effects of flow diverters and their interactions with the biology of the aneurysm wall and the thrombosis process that takes place subsequently. This paper describes the construction of multi-modality image-based subject-specific CFD models of experimentally created aneurysms in rabbits and subsequently treated with flow diverters. Briefly, anatomical models were constructed from 3D rotational angiography images, flow conditions were derived from Doppler ultrasound measurements, stent models were created and virtually deployed, and the results were compared with in vivo digital subtraction angiography and Doppler ultrasound images. The models were capable of reproducing in vivoobservations, including velocity waveforms measured in the parent artery, peak velocity values measured in the aneurysm, and flow structures observed with digital subtraction angiography before and after deployment of flow diverters. The results indicate that regions of aneurysm occlusion after flow diversion coincide with slow and smooth flow patterns, whereas regions still permeable at the time of animal sacrifice were observed in parts of the aneurysm exposed to larger flow activity, that is, higher velocities, more swirling, and more complex flow structures.

KW - Cerebral aneurysm

KW - CFD

KW - Flow diversion

KW - Hemodynamics

KW - Rabbit model

UR - http://www.scopus.com/inward/record.url?scp=84914107227&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84914107227&partnerID=8YFLogxK

U2 - 10.1002/cnm.2638

DO - 10.1002/cnm.2638

M3 - Article

VL - 30

SP - 951

EP - 968

JO - International Journal for Numerical Methods in Biomedical Engineering

JF - International Journal for Numerical Methods in Biomedical Engineering

SN - 2040-7939

IS - 10

ER -