Subject-Specific Head Model Generation by Mesh Morphing: A Personalization Framework and Its Applications

Frontiers in Bioengineering and Biotechnology ◽

10.3389/fbioe.2021.706566 ◽

2021 ◽

Vol 9 ◽

Author(s):

Xiaogai Li

Keyword(s):

Brain Injury ◽

Multimodality Imaging ◽

Head Model ◽

Baseline Model ◽

Mesh Morphing ◽

Multiple Feature ◽

Injury Mechanisms ◽

The Family ◽

Subject Specific ◽

Age Dependent

Finite element (FE) head models have become powerful tools in many fields within neuroscience, especially for studying the biomechanics of traumatic brain injury (TBI). Subject-specific head models accounting for geometric variations among subjects are needed for more reliable predictions. However, the generation of such models suitable for studying TBIs remains a significant challenge and has been a bottleneck hindering personalized simulations. This study presents a personalization framework for generating subject-specific models across the lifespan and for pathological brains with significant anatomical changes by morphing a baseline model. The framework consists of hierarchical multiple feature and multimodality imaging registrations, mesh morphing, and mesh grouping, which is shown to be efficient with a heterogeneous dataset including a newborn, 1-year-old (1Y), 2Y, adult, 92Y, and a hydrocephalus brain. The generated models of the six subjects show competitive personalization accuracy, demonstrating the capacity of the framework for generating subject-specific models with significant anatomical differences. The family of the generated head models allows studying age-dependent and groupwise brain injury mechanisms. The framework for efficient generation of subject-specific FE head models helps to facilitate personalized simulations in many fields of neuroscience.

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Head model personalization: A framework for morphing lifespan brain images and brains with substantial anatomical changes

10.1101/2021.04.10.439281 ◽

2021 ◽

Author(s):

Xiaogai Li

Keyword(s):

Brain Injury ◽

Multimodality Imaging ◽

Head Model ◽

Registration Accuracy ◽

Brain Images ◽

Anatomical Changes ◽

Hexahedral Elements ◽

Injury Mechanisms ◽

Subject Specific ◽

Injury Models

AbstractFinite element (FE) head models have emerged as a powerful tool in many fields within neuroscience, especially for studying the biomechanics of traumatic brain injury (TBI). Personalized head models are needed to account for geometric variations among subjects for more reliable predictions. However, the generation of subject-specific head models with conforming hexahedral elements suitable for studying the biomechanics of TBIs remains a significant challenge, which has been a bottleneck hindering personalized simulations. This study presents a framework capable of generating lifespan brain models and pathological brains with substantial anatomical changes, morphed from a previously developed baseline model. The framework combines hierarchical multiple feature and multimodality imaging registrations with mesh grouping, which is shown to be efficient with a heterogeneous dataset of seven brains, including a newborn, 1-year-old (1Y), 2Y, 6Y, adult, 92Y, and a hydrocephalus brain. The personalized models of the seven subjects show competitive registration accuracy, demonstrating the potential of the framework for generating personalized models for almost any brains with substantial anatomical changes. The family of head injury models generated in this study opens vast opportunities for studying age-dependent and groupwise brain injury mechanisms. The framework is equally applicable for personalizing head models in other fields, e.g., in tDCS, TMS, TUS, as an efficient approach for generating subject-specific head models than from scratch.

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Intracranial pressure–based validation and analysis of traumatic brain injury using a new three-dimensional finite element human head model

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine ◽

10.1177/0954411919881526 ◽

2019 ◽

Vol 234 (1) ◽

pp. 3-15 ◽

Cited By ~ 3

Author(s):

Tanu Khanuja ◽

Harikrishnan Narayanan Unni

Keyword(s):

Finite Element ◽

Brain Injury ◽

Intracranial Pressure ◽

Brain Injuries ◽

Three Dimensional ◽

Human Head ◽

Von Mises Stress ◽

Head Model ◽

Injury Mechanisms ◽

Von Mises

Traumatic brain injuries are life-threatening injuries that can lead to long-term incapacitation and death. Over the years, numerous finite element human head models have been developed to understand the injury mechanisms of traumatic brain injuries. Many of these models are erroneous and used ellipsoidal or spherical geometries to represent brain. This work is focused on the development of high-quality, comprehensive three-dimensional finite element human head model with accurate representation of cerebral sulci and gyri structures in order to study traumatic brain injury mechanisms. Present geometry, predicated on magnetic resonance imaging data consist of three rudimentary components, that is, skull, cerebrospinal fluid with the ventricular system, and the soft tissues comprising the cerebrum, cerebellum, and brain stem. The brain is modeled as a hyperviscoelastic material. Meshed model with 10 nodes modified tetrahedral type element (C3D10M) is validated against two cadaver-based impact experiments by comparing the intracranial pressures at different locations of the head. Our results indicate a better agreement with cadaver results, specifically for the case of frontal and parietal intracranial pressure values. Existing literature focuses mostly on intracranial pressure validation, while the effects of von Mises stress on brain injury are not analyzed in detail. In this work, a detailed interpretation of neurological damage resulting from impact injury is performed by analyzing von Mises stress and intracranial pressure distribution across numerous segments of the brain. A reasonably good correlation with experimental data signifies the robustness of the model for predicting injury mechanisms based on clinical predictions of injury tolerance criteria.

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An Experimental Study of Blast Traumatic Brain Injury

ASME 2008 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2008-192338 ◽

2008 ◽

Author(s):

Jiangyue Zhang ◽

Narayan Yoganandan ◽

Frank A. Pintar ◽

Steven F. Son ◽

Thomas A. Gennarelli

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Armed Forces ◽

Head Model ◽

Trauma Studies ◽

Injury Biomechanics ◽

Blast Traumatic Brain Injury ◽

Injury Mechanisms ◽

Explosive Devices ◽

Complicated Nature

Traumatic brain injury from explosive devices has become the signature wound of the U.S. armed forces in Iraq and Afghanistan [1–4]. However, due to the complicated nature of this specific form of brain injury, little is known about the injury mechanisms. Physical head models have been used in blunt and penetrating head trauma studies to obtain biomechanical data and correlate to mechanisms of injury [5–8]. The current study is designed to investigate intracranial head/brain injury biomechanics under blast loading using a physical head model.

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Providing Care of Mild Traumatic Brain Injury by the Family Practice/Primary Care Optometrist

Vision Development & Rehabilitation ◽

10.31707/vdr2018.4.3.p110 ◽

2018 ◽

pp. 110-119

Keyword(s):

Primary Care ◽

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

Family Practice ◽

Advanced Training ◽

Entry Level ◽

The Family ◽

Basic Understanding ◽

The Brain

Primary Objectives: By extending the scope of knowledge of the primary care optometrist, the brain injury population will have expanded access to entry level neurooptometric care by optometric providers who have a basic understanding of their neurovisual problems, be able to provide some treatment and know when to refer to their colleagues who have advanced training in neuro-optometric rehabilitation.

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