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dc.contributor.author
Blanco, Pablo Javier

dc.contributor.author
Watanabe, Sansuke M.
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Dari, Enzo Alberto

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Passos, Marco Aurelio R.F.
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Feijóo, Raúl A.
dc.date.available
2017-11-03T16:35:16Z
dc.date.issued
2014-11-01
dc.identifier.citation
Blanco, Pablo Javier; Watanabe, Sansuke M.; Dari, Enzo Alberto; Passos, Marco Aurelio R.F.; Feijóo, Raúl A.; Blood flow distribution in an anatomically detailed arterial network model: criteria and algorithms; Springer Heidelberg; Biomechanics And Modeling In Mechanobiology; 13; 6; 1-11-2014; 1-28
dc.identifier.issn
1617-7959
dc.identifier.uri
http://hdl.handle.net/11336/27553
dc.description.abstract
Development of blood flow distribution criteria is a mandatory step toward developing computational models and numerical simulations of the systemic circulation. In the present work, we (i) present a systematic approach based on anatomical and physiological considerations to distribute the blood flow in a 1D anatomically detailed model of the arterial network and (ii) develop a numerical procedure to calibrate resistive parameters in terminal models in order to effectively satisfy such flow distribution. For the first goal, we merge data collected from the specialized medical literature with anatomical concepts such as vascular territories to determine blood flow supply to specific (encephalon, kidneys, etc.) and distributed (muscles, skin, etc.) organs. Overall, 28 entities representing the main specific organs are accounted for in the detailed description of the arterial topology that we use as model substrate. In turn, 116 vascular territories are considered as the basic blocks that compose the distributed organs throughout the whole body. For the second goal, Windkessel models are used to represent the peripheral beds, and the values of the resistive parameters are computed applying a Newton method to a parameter identification problem to guarantee the supply of the correct flow fraction to each terminal location according to the given criteria. Finally, it is shown that, by means of the criteria developed, and for a rather standard set of model parameters, the model predicts physiologically realistic pressure and flow waveforms.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Heidelberg

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Computational Hæmodynamics
dc.subject
Anatomy
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Vascular Territories
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Arterial Circulation
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Ingeniería Mecánica

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Ingeniería Mecánica

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INGENIERÍAS Y TECNOLOGÍAS

dc.title
Blood flow distribution in an anatomically detailed arterial network model: criteria and algorithms
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-09-29T16:32:55Z
dc.journal.volume
13
dc.journal.number
6
dc.journal.pagination
1-28
dc.journal.pais
Alemania

dc.journal.ciudad
Berlin
dc.description.fil
Fil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC; Brasil
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Fil: Watanabe, Sansuke M.. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC; Brasil. Federal Rural University of Pernambuco; Brasil
dc.description.fil
Fil: Dari, Enzo Alberto. Comision Nacional de Energia Atomica. Gerencia de Area de Aplicaciones de la Tecnología Nuclear. Gerencia de Investigación Aplicada. Grupo de Mecanica Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Passos, Marco Aurelio R.F.. Universidade Do Estado de Rio Do Janeiro; Brasil. Medical School of Petrópolis; Brasil
dc.description.fil
Fil: Feijóo, Raúl A.. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC; Brasil
dc.journal.title
Biomechanics And Modeling In Mechanobiology

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10237-014-0574-8
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10237-014-0574-8
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pubmed/24682727
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