Identification of artery wall stiffness: In vitro validation and in vivo results of a data assimilation procedure applied to a 3D fluid-structure interaction model

被引：30

作者：

Bertoglio, Cristobal ^{[1
,2
]}

Barber, David ^{[3
]}

Gaddum, Nicholas ^{[4
]}

Valverde, Israel ^{[4
]}

Rutten, Marcel ^{[5
]}

Beerbaum, Philipp ^{[6
]}

Moireau, Philippe ^{[7
]}

Hose, Rodney ^{[3
]}

Gerbeau, Jean-Frederic ^{[1
,2
]}

机构：

[1] INRIA Paris Rocquencourt, Project Team REO, F-78153 Le Chesnay, France

[2] Univ Paris 06, Lab Jacques Louis Lions, F-75252 Paris 05, France

[3] Univ Sheffield, Dept Cardiovasc Sci, Sheffield S10 2RX, S Yorkshire, England

[4] Kings Coll London, Div Imaging Sci & Biomed Engn, London SE1 7EH, England

[5] Tech Univ Eindhoven, Mat Technol Inst, NL-5600 MB Eindhoven, Netherlands

[6] Hannover Med Sch, Clin Paediat Cardiol & Internal Med, D-30625 Hannover, Germany

[7] INRIA Saclay Ile de France, Project Team M3DISIM, F-91120 Palaiseau, France

来源：

JOURNAL OF BIOMECHANICS | 2014年 / 47卷 / 05期

关键词：

Fluid-structure interaction; Data assimilation; Stiffness estimation; Medical imaging; Experimental validation; Coarctation of the aorta; ULTRASOUND; FILTERS;

D O I：

10.1016/j.jbiomech.2013.12.029

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

We consider the problem of estimating the stiffness of an artery wall using a data assimilation method applied to a 3D fluid-structure interaction (FSI) model. Recalling previous works, we briefly present the FSI model, the data assimilation procedure and the segmentation algorithm. We present then two examples of the procedure using real data. First, we estimate the stiffness distribution of a silicon rubber tube from image data. Second, we present the estimation of aortic wall stiffness from real clinical data. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：1027 / 1034

页数：8

共 32 条

[1]

[Anonymous], 2005, ESAIM P, DOI DOI 10.1051/PROC:2005014

[2] Noninvasive Young's modulus evaluation of tissues surrounding pulsatile vessels using ultrasound Doppler measurement [J].

Balocco, Simone ;

Basset, Olivier ;

Courbebaisse, Guy ;

Boni, Enrico ;

Tortoli, Piero ;

Cachard, Christian .

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2007, 54 (06) :1265-1271

[3] Estimation of the viscoelastic properties of vessel walls using a computational model and Doppler ultrasound [J].

Balocco, Simone ;

Basset, Olivier ;

Courbebaisse, Guy ;

Boni, Enrico ;

Frangi, Alejandro F. ;

Tortoli, Piero ;

Cachard, Christian .

PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (12) :3557-3575

[4]

BANKS HT, 1989, SYS CON FDN, V1, P1

[5] Efficient computational fluid dynamics mesh generation by image registration [J].

Barber, D. C. ;

Oubel, E. ;

Frangi, A. F. ;

Hose, D. R. .

MEDICAL IMAGE ANALYSIS, 2007, 11 (06) :648-662

[6]

Barber D. C., 2005, Journal of Medical Engineering & Technology, V29, P53, DOI 10.1080/03091900412331289889

[7] State observers of a vascular fluid-structure interaction model through measurements in the solid [J].

Bertoglio, C. ;

Chapelle, D. ;

Fernandez, M. A. ;

Gerbeau, J. -F. ;

Moireau, P. .

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2013, 256 :149-168

[8]

BERTOGLIO C., 2012, THESIS U P M CURIE P

[9] FRACTIONAL-STEP SCHEMES FOR THE COUPLING OF DISTRIBUTED AND LUMPED MODELS IN HEMODYNAMICS [J].

Bertoglio, Cristobal ;

Caiazzo, Alfonso ;

Fernandez, Miguel A. .

SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2013, 35 (03) :B551-B575

[10] Sequential parameter estimation for fluid-structure problems: Application to hemodynamics [J].

Bertoglio, Cristobal ;

Moireau, Philippe ;

Gerbeau, Jean-Frederic .

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2012, 28 (04) :434-455

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