Modeling the hematocrit distribution in microcirculatory networks: A quantitative evaluation of a phase separation model

Peter M. Rasmussen, Timothy W Secomb, Axel R. Pries

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objective: Theoretical models are essential tools for studying microcirculatory function. Recently, the validity of a well-established phase separation model was questioned and it was claimed that it produces problematically low hematocrit predictions and lack of red cells in small diameter vessels. We conducted a quantitative evaluation of this phase separation model to establish common ground for future research. Methods: Model predictions were validated against a comprehensive database with measurements from 4 mesenteric networks. A Bayesian data analysis framework was used to integrate measurements and network model simulations into a combined analysis and to model uncertainties related to network boundary conditions as well as phase separation model parameters. The model evaluation was conducted within a cross-validation scheme. Results: Unlike the recently reported results, our analysis demonstrated good correspondence in global characteristics between measurements and predictions. In particular, predicted hematocrits for vessels with small diameters were consistent with measurements. Incorporating phase separation model parameter uncertainties further reduced the hematocrit validation error by 17% and led to the absence of red-cell-free segments. Corresponding model parameters are presented as alternatives to standard parameters. Conclusions: Consistent with earlier studies, our quantitative model evaluation supports the continued use of the established phase separation model.

Original languageEnglish (US)
Article numbere12445
JournalMicrocirculation
Volume25
Issue number3
DOIs
StatePublished - Apr 1 2018

Fingerprint

Hematocrit
Uncertainty
Bayes Theorem
Theoretical Models
Databases

Keywords

  • Bayesian inference
  • flow simulation
  • microcirculatory measurements
  • phase separation effect
  • quantitative model evaluation

ASJC Scopus subject areas

  • Physiology
  • Molecular Biology
  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

Cite this

Modeling the hematocrit distribution in microcirculatory networks : A quantitative evaluation of a phase separation model. / Rasmussen, Peter M.; Secomb, Timothy W; Pries, Axel R.

In: Microcirculation, Vol. 25, No. 3, e12445, 01.04.2018.

Research output: Contribution to journalArticle

@article{b2cf3b74f9714e199e8d567870b69e85,
title = "Modeling the hematocrit distribution in microcirculatory networks: A quantitative evaluation of a phase separation model",
abstract = "Objective: Theoretical models are essential tools for studying microcirculatory function. Recently, the validity of a well-established phase separation model was questioned and it was claimed that it produces problematically low hematocrit predictions and lack of red cells in small diameter vessels. We conducted a quantitative evaluation of this phase separation model to establish common ground for future research. Methods: Model predictions were validated against a comprehensive database with measurements from 4 mesenteric networks. A Bayesian data analysis framework was used to integrate measurements and network model simulations into a combined analysis and to model uncertainties related to network boundary conditions as well as phase separation model parameters. The model evaluation was conducted within a cross-validation scheme. Results: Unlike the recently reported results, our analysis demonstrated good correspondence in global characteristics between measurements and predictions. In particular, predicted hematocrits for vessels with small diameters were consistent with measurements. Incorporating phase separation model parameter uncertainties further reduced the hematocrit validation error by 17{\%} and led to the absence of red-cell-free segments. Corresponding model parameters are presented as alternatives to standard parameters. Conclusions: Consistent with earlier studies, our quantitative model evaluation supports the continued use of the established phase separation model.",
keywords = "Bayesian inference, flow simulation, microcirculatory measurements, phase separation effect, quantitative model evaluation",
author = "Rasmussen, {Peter M.} and Secomb, {Timothy W} and Pries, {Axel R.}",
year = "2018",
month = "4",
day = "1",
doi = "10.1111/micc.12445",
language = "English (US)",
volume = "25",
journal = "Microcirculation",
issn = "1073-9688",
publisher = "Wiley-Blackwell",
number = "3",

}

TY - JOUR

T1 - Modeling the hematocrit distribution in microcirculatory networks

T2 - A quantitative evaluation of a phase separation model

AU - Rasmussen, Peter M.

AU - Secomb, Timothy W

AU - Pries, Axel R.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - Objective: Theoretical models are essential tools for studying microcirculatory function. Recently, the validity of a well-established phase separation model was questioned and it was claimed that it produces problematically low hematocrit predictions and lack of red cells in small diameter vessels. We conducted a quantitative evaluation of this phase separation model to establish common ground for future research. Methods: Model predictions were validated against a comprehensive database with measurements from 4 mesenteric networks. A Bayesian data analysis framework was used to integrate measurements and network model simulations into a combined analysis and to model uncertainties related to network boundary conditions as well as phase separation model parameters. The model evaluation was conducted within a cross-validation scheme. Results: Unlike the recently reported results, our analysis demonstrated good correspondence in global characteristics between measurements and predictions. In particular, predicted hematocrits for vessels with small diameters were consistent with measurements. Incorporating phase separation model parameter uncertainties further reduced the hematocrit validation error by 17% and led to the absence of red-cell-free segments. Corresponding model parameters are presented as alternatives to standard parameters. Conclusions: Consistent with earlier studies, our quantitative model evaluation supports the continued use of the established phase separation model.

AB - Objective: Theoretical models are essential tools for studying microcirculatory function. Recently, the validity of a well-established phase separation model was questioned and it was claimed that it produces problematically low hematocrit predictions and lack of red cells in small diameter vessels. We conducted a quantitative evaluation of this phase separation model to establish common ground for future research. Methods: Model predictions were validated against a comprehensive database with measurements from 4 mesenteric networks. A Bayesian data analysis framework was used to integrate measurements and network model simulations into a combined analysis and to model uncertainties related to network boundary conditions as well as phase separation model parameters. The model evaluation was conducted within a cross-validation scheme. Results: Unlike the recently reported results, our analysis demonstrated good correspondence in global characteristics between measurements and predictions. In particular, predicted hematocrits for vessels with small diameters were consistent with measurements. Incorporating phase separation model parameter uncertainties further reduced the hematocrit validation error by 17% and led to the absence of red-cell-free segments. Corresponding model parameters are presented as alternatives to standard parameters. Conclusions: Consistent with earlier studies, our quantitative model evaluation supports the continued use of the established phase separation model.

KW - Bayesian inference

KW - flow simulation

KW - microcirculatory measurements

KW - phase separation effect

KW - quantitative model evaluation

UR - http://www.scopus.com/inward/record.url?scp=85045398203&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045398203&partnerID=8YFLogxK

U2 - 10.1111/micc.12445

DO - 10.1111/micc.12445

M3 - Article

C2 - 29457313

AN - SCOPUS:85045398203

VL - 25

JO - Microcirculation

JF - Microcirculation

SN - 1073-9688

IS - 3

M1 - e12445

ER -