Literature DB >> 24682727

Blood flow distribution in an anatomically detailed arterial network model: criteria and algorithms.

Pablo J Blanco1, Sansuke M Watanabe, Enzo A Dari, Marco Aurélio R F Passos, Raúl A Feijóo.   

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.

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Year:  2014        PMID: 24682727     DOI: 10.1007/s10237-014-0574-8

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  15 in total

1.  Roadmap for cardiovascular circulation model.

Authors:  Soroush Safaei; Christopher P Bradley; Vinod Suresh; Kumar Mithraratne; Alexandre Muller; Harvey Ho; David Ladd; Leif R Hellevik; Stig W Omholt; J Geoffrey Chase; Lucas O Müller; Sansuke M Watanabe; Pablo J Blanco; Bernard de Bono; Peter J Hunter
Journal:  J Physiol       Date:  2016-09-29       Impact factor: 5.182

2.  Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

Authors:  Mahsa Ghaffari; Ali Alaraj; Xinjian Du; Xiaohong Joe Zhou; Fady T Charbel; Andreas A Linninger
Journal:  Int J Numer Method Biomed Eng       Date:  2018-05-23       Impact factor: 2.747

3.  The Effects of Cerebral Vasospasm on Cerebral Blood Flow and the Effects of Induced Hypertension: A Mathematical Modelling Study.

Authors:  Pervinder Bhogal; Leonard Leong Yeo; Lucas O Müller; Pablo J Blanco
Journal:  Interv Neurol       Date:  2019-04-02

4.  Sex and the G Protein-Coupled Estrogen Receptor Impact Vascular Stiffness.

Authors:  Benard O Ogola; Gabrielle L Clark; Caleb M Abshire; Nicholas R Harris; Kaylee L Gentry; Shreya S Gunda; Isabella Kilanowski-Doroh; Tristen J Wong; Bruna Visniauskas; Dylan J Lawrence; Margaret A Zimmerman; Carolyn L Bayer; Leanne Groban; Kristin S Miller; Sarah H Lindsey
Journal:  Hypertension       Date:  2021-05-24       Impact factor: 9.897

5.  Reducing the number of parameters in 1D arterial blood flow modeling: less is more for patient-specific simulations.

Authors:  Sally Epstein; Marie Willemet; Phil J Chowienczyk; Jordi Alastruey
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-04-17       Impact factor: 4.733

6.  Subject-specific pulse wave propagation modeling: Towards enhancement of cardiovascular assessment methods.

Authors:  Jan Poleszczuk; Malgorzata Debowska; Wojciech Dabrowski; Alicja Wojcik-Zaluska; Wojciech Zaluska; Jacek Waniewski
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

7.  Arterial pulse attenuation prediction using the decaying rate of a pressure wave in a viscoelastic material model.

Authors:  J Menacho; L Rotllant; J J Molins; G Reyes; A A García-Granada; M Balcells; J Martorell
Journal:  Biomech Model Mechanobiol       Date:  2017-11-22

8.  Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.

Authors:  Laura Marx; Matthias A F Gsell; Armin Rund; Federica Caforio; Anton J Prassl; Gabor Toth-Gayor; Titus Kuehne; Christoph M Augustin; Gernot Plank
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

9.  Blood pressure gradients in cerebral arteries: a clue to pathogenesis of cerebral small vessel disease.

Authors:  Pablo J Blanco; Lucas O Müller; J David Spence
Journal:  Stroke Vasc Neurol       Date:  2017-06-08

10.  Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations.

Authors:  Soroush Safaei; Pablo J Blanco; Lucas O Müller; Leif R Hellevik; Peter J Hunter
Journal:  Front Physiol       Date:  2018-03-02       Impact factor: 4.566

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