3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries: A feasibility study

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objectives: In the Netherlands, cyclists continue to outnumber other road users in injuries and deaths. The wearing of bicycle helmets is not mandatory in the Netherlands even though research has shown that wearing bicycle helmets can reduce head and brain injuries by up to 88%. Therefore, the aim of this study was to assess the feasibility of using 3D technology to evaluate bicycle-related head injuries and helmet protection. Methods: Three patients who had been involved in a bicycle accident while wearing a helmet were subjected to multi-detector row computed tomography (MDCT) imaging after trauma. The helmets were separately scanned using the same MDCT scanner with tube voltages ranging from 80. kVp to 140. kVp and tube currents ranging from 10. mAs to 300. mAs in order to determine the best image acquisition parameters for helmets. The acquired helmet images were converted into virtual 3D surface hence Standard Tessellation Language (STL) models and merged with MDCT-derived STL models of the patients' skulls. Finally, all skull fractures and corresponding helmet damage were visualized and related. Results: Imaging bicycle helmets on an MDCT scanner proved to be feasible using a tube voltage of 120. kVp and a tube current of 120. mAs. Merging the resulting STL models of the patients' skull and helmet allowed the overall damage sustained by both skull and helmet to be related. Conclusion: Our proposed 3D method of assessing bicycle helmet damage and corresponding head injuries could offer valuable information for the development and design of safer bicycle helmets.

Original languageEnglish
Pages (from-to)2872-2878
Number of pages7
JournalInjury
Volume48
Issue number12
DOIs
Publication statusPublished - 1 Dec 2017

Cite this

@article{d18bd6bb7c67417c89e83df7ceb328a1,
title = "3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries: A feasibility study",
abstract = "Objectives: In the Netherlands, cyclists continue to outnumber other road users in injuries and deaths. The wearing of bicycle helmets is not mandatory in the Netherlands even though research has shown that wearing bicycle helmets can reduce head and brain injuries by up to 88{\%}. Therefore, the aim of this study was to assess the feasibility of using 3D technology to evaluate bicycle-related head injuries and helmet protection. Methods: Three patients who had been involved in a bicycle accident while wearing a helmet were subjected to multi-detector row computed tomography (MDCT) imaging after trauma. The helmets were separately scanned using the same MDCT scanner with tube voltages ranging from 80. kVp to 140. kVp and tube currents ranging from 10. mAs to 300. mAs in order to determine the best image acquisition parameters for helmets. The acquired helmet images were converted into virtual 3D surface hence Standard Tessellation Language (STL) models and merged with MDCT-derived STL models of the patients' skulls. Finally, all skull fractures and corresponding helmet damage were visualized and related. Results: Imaging bicycle helmets on an MDCT scanner proved to be feasible using a tube voltage of 120. kVp and a tube current of 120. mAs. Merging the resulting STL models of the patients' skull and helmet allowed the overall damage sustained by both skull and helmet to be related. Conclusion: Our proposed 3D method of assessing bicycle helmet damage and corresponding head injuries could offer valuable information for the development and design of safer bicycle helmets.",
keywords = "Accidents, Bicycle helmets, Computed tomography (CT), Computer-aided design (CAD), Head injuries, Three-dimensional (3D)",
author = "{van Baar}, {Gustaaf J.C.} and Muhammad Ruslin and {van Eijnatten}, Maureen and S{\'a}ndor, {George K.} and Tymour Forouzanfar and Jan Wolff",
year = "2017",
month = "12",
day = "1",
doi = "10.1016/j.injury.2017.09.031",
language = "English",
volume = "48",
pages = "2872--2878",
journal = "Injury. International Journal of the Care of the Injured",
issn = "0020-1383",
publisher = "Elsevier Limited",
number = "12",

}

3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries : A feasibility study. / van Baar, Gustaaf J.C.; Ruslin, Muhammad; van Eijnatten, Maureen; Sándor, George K.; Forouzanfar, Tymour; Wolff, Jan.

In: Injury, Vol. 48, No. 12, 01.12.2017, p. 2872-2878.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - 3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries

T2 - A feasibility study

AU - van Baar, Gustaaf J.C.

AU - Ruslin, Muhammad

AU - van Eijnatten, Maureen

AU - Sándor, George K.

AU - Forouzanfar, Tymour

AU - Wolff, Jan

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Objectives: In the Netherlands, cyclists continue to outnumber other road users in injuries and deaths. The wearing of bicycle helmets is not mandatory in the Netherlands even though research has shown that wearing bicycle helmets can reduce head and brain injuries by up to 88%. Therefore, the aim of this study was to assess the feasibility of using 3D technology to evaluate bicycle-related head injuries and helmet protection. Methods: Three patients who had been involved in a bicycle accident while wearing a helmet were subjected to multi-detector row computed tomography (MDCT) imaging after trauma. The helmets were separately scanned using the same MDCT scanner with tube voltages ranging from 80. kVp to 140. kVp and tube currents ranging from 10. mAs to 300. mAs in order to determine the best image acquisition parameters for helmets. The acquired helmet images were converted into virtual 3D surface hence Standard Tessellation Language (STL) models and merged with MDCT-derived STL models of the patients' skulls. Finally, all skull fractures and corresponding helmet damage were visualized and related. Results: Imaging bicycle helmets on an MDCT scanner proved to be feasible using a tube voltage of 120. kVp and a tube current of 120. mAs. Merging the resulting STL models of the patients' skull and helmet allowed the overall damage sustained by both skull and helmet to be related. Conclusion: Our proposed 3D method of assessing bicycle helmet damage and corresponding head injuries could offer valuable information for the development and design of safer bicycle helmets.

AB - Objectives: In the Netherlands, cyclists continue to outnumber other road users in injuries and deaths. The wearing of bicycle helmets is not mandatory in the Netherlands even though research has shown that wearing bicycle helmets can reduce head and brain injuries by up to 88%. Therefore, the aim of this study was to assess the feasibility of using 3D technology to evaluate bicycle-related head injuries and helmet protection. Methods: Three patients who had been involved in a bicycle accident while wearing a helmet were subjected to multi-detector row computed tomography (MDCT) imaging after trauma. The helmets were separately scanned using the same MDCT scanner with tube voltages ranging from 80. kVp to 140. kVp and tube currents ranging from 10. mAs to 300. mAs in order to determine the best image acquisition parameters for helmets. The acquired helmet images were converted into virtual 3D surface hence Standard Tessellation Language (STL) models and merged with MDCT-derived STL models of the patients' skulls. Finally, all skull fractures and corresponding helmet damage were visualized and related. Results: Imaging bicycle helmets on an MDCT scanner proved to be feasible using a tube voltage of 120. kVp and a tube current of 120. mAs. Merging the resulting STL models of the patients' skull and helmet allowed the overall damage sustained by both skull and helmet to be related. Conclusion: Our proposed 3D method of assessing bicycle helmet damage and corresponding head injuries could offer valuable information for the development and design of safer bicycle helmets.

KW - Accidents

KW - Bicycle helmets

KW - Computed tomography (CT)

KW - Computer-aided design (CAD)

KW - Head injuries

KW - Three-dimensional (3D)

UR - http://www.scopus.com/inward/record.url?scp=85030623826&partnerID=8YFLogxK

U2 - 10.1016/j.injury.2017.09.031

DO - 10.1016/j.injury.2017.09.031

M3 - Article

VL - 48

SP - 2872

EP - 2878

JO - Injury. International Journal of the Care of the Injured

JF - Injury. International Journal of the Care of the Injured

SN - 0020-1383

IS - 12

ER -