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A Review on Recent Development of Finite Element Models for Head Injury Simulations

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Abstract

This paper presents an overview of the published major finite element (FE) models for simulating injuries of human brains, based on our recent comprehensive literature study on the published works since early 2000 to date. Our focus is on studies of the so-called mild traumatic brain injuries (MTBI) that have always been a major concern with respect to various contact sports, including boxing and football. In addition, papers on the investigations of various types of accidents as major cause of MTBI have also reviewed. Because concussion is known as one of the main reasons for a MTBI, and addressing it has been a pressing need in recent times. FE models have been frequently used to study the mechanism of concussions, and different types of models with various considerations have been included in this review study. This paper aims to summarize all these published efforts, models, data, finings, and understandings of concussion mechanisms reported in the open literature. We hope this can serve a useful source for initial studies for researchers planning to invest their time and energy in the investigations in the related areas.

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Acknowledgments

This research is partially sponsored by NSF under the Award No. DMS-1214188.

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Authors

Corresponding author

Correspondence to Prateek Dixit.

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The authors declare that they have no conflict of interest.

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This chapter does not contain any studies with human participants or animals performed by any of the authors.

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Informed consent was obtained from all individual participants included in the study.

Appendix: Tabular Overview of the Finite Element Models Discussed in this Paper

Appendix: Tabular Overview of the Finite Element Models Discussed in this Paper

First author, year

Zhang et al.

Jin et al.

Belingardi et al.

Software

Hypermesh 3.1, PAM-CRASH, PAM-VIEW

Not mentioned

AMIRA, Hypermesh 5.1, LS DYNA

Figure

 

 

 

Size

50th ‰ male model

CT scan of a Chinese volunteer

31 years old patient CT scans

No. of nodes/no. of elements

32,898 nodes, 41,354 elements

74,636 brick 24,391 shell

55,264 elements and 26,000 nodes

Weight

4.37 kg with 1.41 kg of brain matter

4.65 kg with brain matter 1.32 kg

Assembly Model components

Scalp, skull, dura, falx cerebri, tentorium, pia, cerebrospinal fluid (CSF), venous sinuses, ventricles, cerebrum (gray matter and white matter), cerebellum, brain stem, and bridging veins

Scalp, two layered skull, facial bone, dura matter, pia, CSF, falx, scalp cerebrum, cerebellum and brain stem

Scalp, three layered skull, facial bones, dura matter, CSF, brain tissues, ventricles, falx, and tentorium membranes

Validation

Pressure (Nahum et al.—frontal tests)

Rotational impact—Trosseille et al., translational impact—Nahum et al., skull–brain motion under rotational impact—Hardy et al.

Impact force behavior—Nahum et al., frontal pressure behavior—shuck, Advani et al., posterior fossa pressure behavior—none

First author, year

Tse et al.

Jiroušek et al.

Hamel et al.

Zong et al.

Software

MIMICS v13.0–14.0, Hypermesh 10.0, Abaqus 6.10

In-house codes, ANSYS

MADYMO 7.1, R, MIMICS 12.3, Hypermesh, Radioss

MSC/DYTRAN

Figure

Size

CT scans obtained from sources closeby

CT scans of 30-year-old male

Geometrical data of head model taken from Koenig (1998)

No. of nodes/no. of elements

Linear hex—403,176, linear tetra—1,337,903

497,000 elements—435,000 tetrahedrons, 8000 bricks and 54,000 shells

Weight

Model 1—4.82 kg, model 2—4.73 kg

4.2 kg

Assembly Model components

Brainstem, cerebral peduncle, cerebellum, cerebrum, CSF, skull bone, ventricles, gray and white matter, lateral and septum cartilages, soft tissues and tooth

Skull and brain

CSF, scalp, brain, diploe, inner and outer tables

Skull, diploe, brain, CSF, spinal cord, cervical bone, disc

Validation

Trosseille et al.—intracranial pressure data for long duration impulse, Hardy et al.—localized brain motion, Nahum et al.—impact force, intracranial acceleration, and pressure data for short duration impulse, two models generated with different element types—linear hex and linear terta

None

None

Impact experiment by Nahum and Smith (1976), anteroposterior head acceleration of the Trosseille’s test, frontal and (b) occipital pressure comparison with Trosseille’s impact

First author, year

Hamidian et al.

Horgan and Gilchrist

Wittek et al.

Software

COMSOL3.3, MATLAB

VTK, MSC/Patran, ABAQUS 5.8, MATLAB

ABAQUS, 3D slicer, VTK, hypermesh

Figure

Size

Pre-operative and intra-operative patient specific MRI scans

Geometric data acquired from NIH

60 pre-operative MRIs of patients undergoing brain tumor surgery

No. of nodes/no. of elements

15,164 tetra

9000–50,000 shell

15,031 hexahedral and 19 pentahedral

Weight

Model—4.017 kg, brain—1.422 kg

Assembly Model components

Brain and tumor

University of Dublin Brain Trauma Model (UCDBTM)—consists of scalp, three-layer skull, dura, CSF, pia, falx, tentorium, cerebral hemispheres, cerebellum and brain stem

Lateral ventricle, brain parenchyma, skull and tumor

Validation

Model to predict tumor location

Intra-cranial pressures wrt. Nahum, impact experiments of Nahum et al., pressure–time histories wrt. Nahum, comparison of the material properties using Ruan et al., Zhou et al. and Willinger et al. done wrt frontal contre coup pressure and von mises stresses

Model to compute the deformation field within the brain during craniotomy-induced brain surgery

First author, year

Takhounts et al.

Kimpara et al.

McAllister et al.

Software

Truegrid, LS-DYNA

Hypermesh, LS-DYNA

MATLAB, Truegrid, Abaqus

Figure

Size

CT scan of 50th ‰ male

50th ‰ American male, visible human project (NIH)

High-resolution T1-weighted MR images from a single template-defining subject

No. of nodes/no. of elements

42,500 nodes and 45,875 elements

49,579 elements (24,096 solid, 25,119 shell, and 364 seatbelt elements)

Weight

4.39 kg

Assembly model components

Cerebrum, cerebellum, brainstem, ventricles, combined CSF and pia arachnoid complex (PAC) layer, falx, tentorium, and parasagittal blood vessels

Facial bones, cerebrum, cerebellum, brainstem, CSF, sagittal sinus, dura, pia, arachnoid, meninx, falx cerebri, tentorium

Skull, brain, falx

Validation

Strain field of the model based on the neutral density targets (NDTs) data presented by Hardy et al. [25], stress field within the brain of SIMon FEHM and compared it to that obtained from PMHS tests of Nahum et al. [24] and Trosseille et al. [30]

Anteroposterior responses of head and neck during frontal impacts validated against Nahum, Trosseille and Hardy, cervical axial compression validated against Pintar et al. and neck flexion validated against Thunnissen et al.

Relative brain–skull displacement data as well as intracranial pressure data from Nahum et al. and Trosseille et al., biomechanical head acceleration traces were applied to the rigid body skull, and relative brain–skull trajectories at two neutral density target locations corresponding to NDT 4 and 11 in Hardy et al. were validated

First author, year

Brands et al.

Kleiven and Holst

Deck and Willinger

Software

MADMYO 5.4.1, hyper mesh

LS-DYNA

Hypermesh, LS-DYNA

Figure

Size

Visible human data set from US National Library of Medicine

Human database (National Institute of Health)

Digitized from human adult male skull and data from Ferner et al. was used

No. of nodes/no. of elements

14,092, eight-node, brick elements

Coarsely meshed model—1500, refined model—40,000

13,208 elements

Weight

4.7 kg

Assembly Model components

Cerebrum, cerebellum, brainstem, falx cerebri, falx cerebelli, tentorium cerebelli, duramater, neorocranium, viscerocranium

Outer table/face, inner table, diploe, neck bone, neck muscles, brain hyperelastic, dura mater, falx/tentorium, scalp

Skull, falx, tentorium, subarachnoid space, scalp, cerebrum, cerebellum, and brainstem

Validation

Not accurate so no validation

Intracranial pressure–time by Nahum et al.

Comparisons done with the HIC of SIMon model

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Dixit, P., Liu, G.R. A Review on Recent Development of Finite Element Models for Head Injury Simulations. Arch Computat Methods Eng 24, 979–1031 (2017). https://doi.org/10.1007/s11831-016-9196-x

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  • DOI: https://doi.org/10.1007/s11831-016-9196-x

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