Cross, C;
Khonsari, RH;
Patermoster, G;
Arnaud, E;
Larysz, D;
Kölby, L;
Johnson, D;
... Moazen, Mehran; + view all
(2022)
A Computational Framework to Predict Calvarial Growth: Optimising Management of Sagittal Craniosynostosis.
Frontiers in Bioengineering and Biotechnology
, 10
, Article 913190. 10.3389/fbioe.2022.913190.
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| Type: | Article |
|---|---|
| Title: | A Computational Framework to Predict Calvarial Growth: Optimising Management of Sagittal Craniosynostosis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fbioe.2022.913190 |
| Publisher version: | https://doi.org/10.3389/fbioe.2022.913190 |
| Language: | English |
| Additional information: | © 2022 Cross, Khonsari, Patermoster, Arnaud, Larysz, Kölby, Johnson, Ventikos and Moazen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | calvarial bones, sutures, skull growth, sagittal synostosis, finite element method, biomechanics |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10148510 |
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