Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU142462" target="_blank" >RIV/00216305:26110/21:PU142462 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11150/21:10438936 RIV/46747885:24220/21:00009494

Výsledek na webu

<a href="https://doi.org/10.1016/j.cmpb.2021.106353" target="_blank" >https://doi.org/10.1016/j.cmpb.2021.106353</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cmpb.2021.106353" target="_blank" >10.1016/j.cmpb.2021.106353</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence

Popis výsledku v původním jazyce

Background and Objective: Capturing the population variability of bone properties is of paramount importance to biomedical engineering. The aim of the present paper is to describe variability and correlations in bone mineral density with a spatial random field inferred from routine computed tomography data. Methods: Random fields were simulated by transforming pairwise uncorrelated Gaussian random variables into correlated variables through the spectral decomposition of an age-detrended correlation matrix. The validity of the random field model was demonstrated in the spatiotemporal analysis of bone mineral density . The similarity between the computed tomography samples and those generated via random fields was analyzed with the energy distance metric. Results: The random field of bone mineral density was found to be approximately Gaussian/slightly leftskewed/strongly right-skewed at various locations. However, average bone density could be simulated well with the proposed Gaussian random field for which the energy distance, i.e., a measure that quantifies discrepancies between two distribution functions, is convergent with respect to the number of correlation eigenpairs. Conclusions: The proposed random field model allows the enhancement of computational biomechanical models with variability in bone mineral density, which could increase the usability of the model and provides a step forward in in-silico medicine. (c) 2021 Elsevier B.V. All rights reserved.

Název v anglickém jazyce

Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence

Popis výsledku anglicky

Background and Objective: Capturing the population variability of bone properties is of paramount importance to biomedical engineering. The aim of the present paper is to describe variability and correlations in bone mineral density with a spatial random field inferred from routine computed tomography data. Methods: Random fields were simulated by transforming pairwise uncorrelated Gaussian random variables into correlated variables through the spectral decomposition of an age-detrended correlation matrix. The validity of the random field model was demonstrated in the spatiotemporal analysis of bone mineral density . The similarity between the computed tomography samples and those generated via random fields was analyzed with the energy distance metric. Results: The random field of bone mineral density was found to be approximately Gaussian/slightly leftskewed/strongly right-skewed at various locations. However, average bone density could be simulated well with the proposed Gaussian random field for which the energy distance, i.e., a measure that quantifies discrepancies between two distribution functions, is convergent with respect to the number of correlation eigenpairs. Conclusions: The proposed random field model allows the enhancement of computational biomechanical models with variability in bone mineral density, which could increase the usability of the model and provides a step forward in in-silico medicine. (c) 2021 Elsevier B.V. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ISSN

0169-2607

e-ISSN

1872-7565

Svazek periodika

210

Číslo periodika v rámci svazku

106353

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

106353-106363

Kód UT WoS článku

000718164200012

EID výsledku v databázi Scopus

2-s2.0-85114423203