A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI)

Harsha T. Garimella, Hao Yuan, Brian D. Johnson, Semyon Slobounov, Reuben H. Kraft

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Sports-related concussion is a major public health problem in the United States that is estimated to occur in 1.6-3.8 million individuals annually, and is particularly common in football. Despite the significance and growing concerns about the potential long-term consequences of concussion, its biomechanical mechanisms are not fully understood. Since 1970's computational head modeling has proved to be an efficient tool for establishment of health injury criteria and studies on head injury mitigation. One important step in the computational modeling of the human head is to develop the mathematical material models (constitutive models) for the tissue. There have been many attempts to develop an accurate constitutive model for brain tissue. Recent experimental studies have highlighted the significant influence of axonal fibers on the non-linear and anisotropic behavior of brain tissue. Tractography based on diffusion tensor imaging (DTI) has been used in various previous studies to develop a constitutive model for human brain by including the anisotropic properties. Though DTI provides a macro scale information about the axonal fibers in the brain, it cannot directly describe multiple fiber orientations within a single voxel. To address this limitation within the DTI tractography, Diffusion Spectrum imaging (DSI), a variant of Diffusion Weighted Imaging, is used. DSI is generally used in deriving connectome sets and is sensitive to intravoxel heterogeneities of fiber orientation in diffusion direction caused by crossing fiber tracts and thus allowing for more accurate mapping of axonal trajectories than other diffusion methods. Thus more accurate constitutive models can be developed from the structural information about the human brain using DSI. This paper extends, the anisotropic constitutive models developed previously, for two family of fibers which will be useful in the computational modeling of the human brain using DSI.

Original languageEnglish (US)
Title of host publicationBiomedical and Biotechnology Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume3
ISBN (Electronic)9780791846469
DOIs
StatePublished - Jan 1 2014
EventASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014 - Montreal, Canada
Duration: Nov 14 2014Nov 20 2014

Other

OtherASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014
CountryCanada
CityMontreal
Period11/14/1411/20/14

Fingerprint

Fiber reinforced materials
Constitutive models
Brain
Imaging techniques
Diffusion tensor imaging
Fibers
Tissue
Public health
Medical problems
Sports
Macros
Trajectories
Health

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

Garimella, H. T., Yuan, H., Johnson, B. D., Slobounov, S., & Kraft, R. H. (2014). A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI). In Biomedical and Biotechnology Engineering (Vol. 3). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE201439107
Garimella, Harsha T. ; Yuan, Hao ; Johnson, Brian D. ; Slobounov, Semyon ; Kraft, Reuben H. / A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI). Biomedical and Biotechnology Engineering. Vol. 3 American Society of Mechanical Engineers (ASME), 2014.
@inproceedings{9727db720c3c4d96ba68c4b5c2397727,
title = "A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI)",
abstract = "Sports-related concussion is a major public health problem in the United States that is estimated to occur in 1.6-3.8 million individuals annually, and is particularly common in football. Despite the significance and growing concerns about the potential long-term consequences of concussion, its biomechanical mechanisms are not fully understood. Since 1970's computational head modeling has proved to be an efficient tool for establishment of health injury criteria and studies on head injury mitigation. One important step in the computational modeling of the human head is to develop the mathematical material models (constitutive models) for the tissue. There have been many attempts to develop an accurate constitutive model for brain tissue. Recent experimental studies have highlighted the significant influence of axonal fibers on the non-linear and anisotropic behavior of brain tissue. Tractography based on diffusion tensor imaging (DTI) has been used in various previous studies to develop a constitutive model for human brain by including the anisotropic properties. Though DTI provides a macro scale information about the axonal fibers in the brain, it cannot directly describe multiple fiber orientations within a single voxel. To address this limitation within the DTI tractography, Diffusion Spectrum imaging (DSI), a variant of Diffusion Weighted Imaging, is used. DSI is generally used in deriving connectome sets and is sensitive to intravoxel heterogeneities of fiber orientation in diffusion direction caused by crossing fiber tracts and thus allowing for more accurate mapping of axonal trajectories than other diffusion methods. Thus more accurate constitutive models can be developed from the structural information about the human brain using DSI. This paper extends, the anisotropic constitutive models developed previously, for two family of fibers which will be useful in the computational modeling of the human brain using DSI.",
author = "Garimella, {Harsha T.} and Hao Yuan and Johnson, {Brian D.} and Semyon Slobounov and Kraft, {Reuben H.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1115/IMECE201439107",
language = "English (US)",
volume = "3",
booktitle = "Biomedical and Biotechnology Engineering",
publisher = "American Society of Mechanical Engineers (ASME)",

}

Garimella, HT, Yuan, H, Johnson, BD, Slobounov, S & Kraft, RH 2014, A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI). in Biomedical and Biotechnology Engineering. vol. 3, American Society of Mechanical Engineers (ASME), ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014, Montreal, Canada, 11/14/14. https://doi.org/10.1115/IMECE201439107

A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI). / Garimella, Harsha T.; Yuan, Hao; Johnson, Brian D.; Slobounov, Semyon; Kraft, Reuben H.

Biomedical and Biotechnology Engineering. Vol. 3 American Society of Mechanical Engineers (ASME), 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI)

AU - Garimella, Harsha T.

AU - Yuan, Hao

AU - Johnson, Brian D.

AU - Slobounov, Semyon

AU - Kraft, Reuben H.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Sports-related concussion is a major public health problem in the United States that is estimated to occur in 1.6-3.8 million individuals annually, and is particularly common in football. Despite the significance and growing concerns about the potential long-term consequences of concussion, its biomechanical mechanisms are not fully understood. Since 1970's computational head modeling has proved to be an efficient tool for establishment of health injury criteria and studies on head injury mitigation. One important step in the computational modeling of the human head is to develop the mathematical material models (constitutive models) for the tissue. There have been many attempts to develop an accurate constitutive model for brain tissue. Recent experimental studies have highlighted the significant influence of axonal fibers on the non-linear and anisotropic behavior of brain tissue. Tractography based on diffusion tensor imaging (DTI) has been used in various previous studies to develop a constitutive model for human brain by including the anisotropic properties. Though DTI provides a macro scale information about the axonal fibers in the brain, it cannot directly describe multiple fiber orientations within a single voxel. To address this limitation within the DTI tractography, Diffusion Spectrum imaging (DSI), a variant of Diffusion Weighted Imaging, is used. DSI is generally used in deriving connectome sets and is sensitive to intravoxel heterogeneities of fiber orientation in diffusion direction caused by crossing fiber tracts and thus allowing for more accurate mapping of axonal trajectories than other diffusion methods. Thus more accurate constitutive models can be developed from the structural information about the human brain using DSI. This paper extends, the anisotropic constitutive models developed previously, for two family of fibers which will be useful in the computational modeling of the human brain using DSI.

AB - Sports-related concussion is a major public health problem in the United States that is estimated to occur in 1.6-3.8 million individuals annually, and is particularly common in football. Despite the significance and growing concerns about the potential long-term consequences of concussion, its biomechanical mechanisms are not fully understood. Since 1970's computational head modeling has proved to be an efficient tool for establishment of health injury criteria and studies on head injury mitigation. One important step in the computational modeling of the human head is to develop the mathematical material models (constitutive models) for the tissue. There have been many attempts to develop an accurate constitutive model for brain tissue. Recent experimental studies have highlighted the significant influence of axonal fibers on the non-linear and anisotropic behavior of brain tissue. Tractography based on diffusion tensor imaging (DTI) has been used in various previous studies to develop a constitutive model for human brain by including the anisotropic properties. Though DTI provides a macro scale information about the axonal fibers in the brain, it cannot directly describe multiple fiber orientations within a single voxel. To address this limitation within the DTI tractography, Diffusion Spectrum imaging (DSI), a variant of Diffusion Weighted Imaging, is used. DSI is generally used in deriving connectome sets and is sensitive to intravoxel heterogeneities of fiber orientation in diffusion direction caused by crossing fiber tracts and thus allowing for more accurate mapping of axonal trajectories than other diffusion methods. Thus more accurate constitutive models can be developed from the structural information about the human brain using DSI. This paper extends, the anisotropic constitutive models developed previously, for two family of fibers which will be useful in the computational modeling of the human brain using DSI.

UR - http://www.scopus.com/inward/record.url?scp=84926433488&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926433488&partnerID=8YFLogxK

U2 - 10.1115/IMECE201439107

DO - 10.1115/IMECE201439107

M3 - Conference contribution

AN - SCOPUS:84926433488

VL - 3

BT - Biomedical and Biotechnology Engineering

PB - American Society of Mechanical Engineers (ASME)

ER -

Garimella HT, Yuan H, Johnson BD, Slobounov S, Kraft RH. A two-fiber anisotropic constitutive model of human brain with intravoxel heterogeneity of fiber orientation using diffusion spectrum imaging (DSI). In Biomedical and Biotechnology Engineering. Vol. 3. American Society of Mechanical Engineers (ASME). 2014 https://doi.org/10.1115/IMECE201439107