Automatic reconstruction of the muscle architecture from the superficial layer fibres data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932185" target="_blank" >RIV/49777513:23520/17:43932185 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.cmpb.2017.08.002" target="_blank" >http://dx.doi.org/10.1016/j.cmpb.2017.08.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cmpb.2017.08.002" target="_blank" >10.1016/j.cmpb.2017.08.002</a>

Result language

angličtina

Original language name

Automatic reconstruction of the muscle architecture from the superficial layer fibres data

Original language description

Background and objective: Physiological cross-sectional area (PCSA) of a muscle plays a significant role in determining the force contribution of muscle fascicles to skeletal movement. This parameter is typically calculated from the lengths of muscle fibres selectively sampled from the superficial layer of the muscle. However, recent studies have found that the length of fibres in the superficial layer often differs significantly (p &lt; 0.5) from the length of fibres in the deep layer. As a result, PCSA estimation is inaccurate. In this paper, we propose a method to automatically reconstruct fibres in the whole volume of a muscle from those selectively sampled on the superficial layer. Methods: The method performs a centripetal Catmull–Rom interpolation of the input fibres within the volume of a muscle represented by its 3D surface model, automatically distributing the fibres among multiple heads of the muscle and shortening the deep fibres to support large attachment areas with extremely acute angles. Results: Our C++ implementation runs in a couple of seconds on commodity hardware providing realistic results for both artificial and real data sets we tested. Conclusions: The fibres produced by the method can be used directly to determine the personalised mechanical muscle functioning. Our implementation is publicly available for the researchers at https://mi.kiv.zcu.cz/.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Name of the periodical

Computer Methods and Programs in Biomedicine

ISSN

0169-2607

e-ISSN

—

Volume of the periodical

150

Issue of the periodical within the volume

October 2017

Country of publishing house

IE - IRELAND

Number of pages

11

Pages from-to

85-95

UT code for WoS article

000410581900008

EID of the result in the Scopus database

2-s2.0-85027870150