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  • 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.
  • 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. (en)
Title
  • Model-Based Identification of Anatomical Boundary Conditions in Living Tissues
  • Model-Based Identification of Anatomical Boundary Conditions in Living Tissues (en)
skos:prefLabel
  • Model-Based Identification of Anatomical Boundary Conditions in Living Tissues
  • Model-Based Identification of Anatomical Boundary Conditions in Living Tissues (en)
skos:notation
  • RIV/00216224:14610/14:00078000!RIV15-MSM-14610___
http://linked.open...avai/riv/aktivita
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  • P(LM2010005)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 29778
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  • RIV/00216224:14610/14:00078000
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  • elastic registration; constrained dynamics; finite element method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [18DC2F0A9AFB]
http://linked.open...v/mistoKonaniAkce
  • Fukuoka, Japonsko
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  • Neuveden
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  • Information Processing in Computer-Assisted Interventions
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  • Peterlík, Igor
  • Duriez, Christian
  • Cotin, Stephane
  • Courtecuisse, Hadrien
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-07521-1_21
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  • Springer International Publishing
https://schema.org/isbn
  • 9783319075204
http://localhost/t...ganizacniJednotka
  • 14610
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