Model-Based Identification of Anatomical Boundary Conditions in
Living Tissues

D 2014

Model-Based Identification of Anatomical Boundary Conditions in Living Tissues

PETERLÍK, Igor, Hadrien COURTECUISSE, Christian DURIEZ and Stephane COTIN

Basic information

Original name

Model-Based Identification of Anatomical Boundary Conditions in Living Tissues

Authors

PETERLÍK, Igor (703 Slovakia, belonging to the institution), Hadrien COURTECUISSE (250 France), Christian DURIEZ (250 France) and Stephane COTIN (250 France)

Edition

Neuveden, Information Processing in Computer-Assisted Interventions, p. 196-205, 10 pp. 2014

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14610/14:00078000

Organization unit

Institute of Computer Science

ISBN

978-3-319-07520-4

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-07521-1_21

Keywords in English

elastic registration; constrained dynamics; finite element method

Abstract

V originále

In this paper, we present a novel method dealing with the identification of boundary conditions of a deformable organ, a partic- ularly important step for the creation of patient-specific biomechani- cal models of the anatomy. As an input, the method requires a set of scans acquired in different body positions. Using constraint-based finite element simulation, the method registers the two data sets by solving an optimization problem minimizing the energy of the deformable body while satisfying the constraints located on the surface of the registered organ. Once the equilibrium of the simulation is attained (i.e. the organ registration is computed), the surface forces needed to satisfy the con- straints provide a reliable estimation of location, direction and magnitude of boundary conditions applied to the object in the deformed position. The method is evaluated on two abdominal CT scans of a pig acquired in flank and supine positions. We demonstrate that while computing a physically admissible registration of the liver, the resulting constraint forces applied to the surface of the liver strongly correlate with the loca- tion of the anatomical boundary conditions (such as contacts with bones and other organs) that are visually identified in the CT images.

Links

LM2010005, research and development project

Name: Velká infrastruktura CESNET (Acronym: VI CESNET)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

PETERLÍK, Igor, Hadrien COURTECUISSE, Christian DURIEZ and Stephane COTIN. Model-Based Identification of Anatomical Boundary Conditions in Living Tissues. In Stoyanov, Danail and Collins, D.Louis and Sakuma, Ichiro and Abolmaesumi, Purang and Jannin, Pierre. Information Processing in Computer-Assisted Interventions. Neuveden: Springer International Publishing, 2014, p. 196-205. ISBN 978-3-319-07520-4. Available from: https://dx.doi.org/10.1007/978-3-319-07521-1_21.

@inproceedings{1214965,
   author = {Peterlík, Igor and Courtecuisse, Hadrien and Duriez, Christian and Cotin, Stephane},
   address = {Neuveden},
   booktitle = {Information Processing in Computer-Assisted Interventions},
   doi = {http://dx.doi.org/10.1007/978-3-319-07521-1_21},
   editor = {Stoyanov, Danail and Collins, D.Louis and Sakuma, Ichiro and Abolmaesumi, Purang and Jannin, Pierre},
   keywords = {elastic registration; constrained dynamics; finite element method},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Neuveden},
   isbn = {978-3-319-07520-4},
   pages = {196-205},
   publisher = {Springer International Publishing},
   title = {Model-Based Identification of Anatomical Boundary Conditions in Living Tissues},
   year = {2014}
}

TY  - JOUR
ID  - 1214965
AU  - Peterlík, Igor - Courtecuisse, Hadrien - Duriez, Christian - Cotin, Stephane
PY  - 2014
TI  - Model-Based Identification of Anatomical Boundary Conditions in Living Tissues
PB  - Springer International Publishing
CY  - Neuveden
SN  - 9783319075204
KW  - elastic registration
KW  - constrained dynamics
KW  - finite element method
N2  - In this paper, we present a novel method dealing with the identification of boundary conditions of a deformable organ, a partic- ularly important step for the creation of patient-specific biomechani- cal models of the anatomy. As an input, the method requires a set of scans acquired in different body positions. Using constraint-based finite element simulation, the method registers the two data sets by solving an optimization problem minimizing the energy of the deformable body while satisfying the constraints located on the surface of the registered organ. Once the equilibrium of the simulation is attained (i.e. the organ registration is computed), the surface forces needed to satisfy the con- straints provide a reliable estimation of location, direction and magnitude of boundary conditions applied to the object in the deformed position. The method is evaluated on two abdominal CT scans of a pig acquired in flank and supine positions. We demonstrate that while computing a physically admissible registration of the liver, the resulting constraint forces applied to the surface of the liver strongly correlate with the loca- tion of the anatomical boundary conditions (such as contacts with bones and other organs) that are visually identified in the CT images.
ER  -

PETERLÍK, Igor, Hadrien COURTECUISSE, Christian DURIEZ and Stephane COTIN. Model-Based Identification of Anatomical Boundary Conditions in Living Tissues. In Stoyanov, Danail and Collins, D.Louis and Sakuma, Ichiro and Abolmaesumi, Purang and Jannin, Pierre. \textit{Information Processing in Computer-Assisted Interventions}. Neuveden: Springer International Publishing, 2014, p.~196-205. ISBN~978-3-319-07520-4. Available from: https://dx.doi.org/10.1007/978-3-319-07521-1\_{}21.

Detailed Information on Publication Record