Estimation of Intraoperative Brain Deformation

2012 ◽  
pp. 97-133 ◽  
Author(s):  
Songbai Ji ◽  
Xiaoyao Fan ◽  
Alex Hartov ◽  
David W. Roberts ◽  
Keith D. Paulsen
Keyword(s):  
Brain Deformation

scholarly journals Analysis of loading curve characteristics on the production of brain deformation metrics

2012 ◽  
Vol 226 (3-4) ◽  
pp. 200-207 ◽  
Author(s):  
Andrew Post ◽  
Evan S Walsh ◽  
T Blaine Hoshizaki ◽  
Michael D Gilchrist
Keyword(s):  
Brain Deformation

scholarly journals Improved measurement of brain deformation during mild head acceleration using a novel tagged MRI sequence

2014 ◽  
Vol 47 (14) ◽  
pp. 3475-3481 ◽  
Author(s):  
Andrew K. Knutsen ◽  
Elizabeth Magrath ◽  
Julie E. McEntee ◽  
Fangxu Xing ◽  
Jerry L. Prince ◽  
...  
Keyword(s):  
Tagged Mri ◽  
Head Acceleration ◽  
Brain Deformation

Comparative study of brain deformation estimation methods

2006 ◽  
Author(s):  
Fenghong Liu ◽  
Keith D. Paulsen ◽  
Karen E. Lunn ◽  
Hai Sun ◽  
Alexander Hartov ◽  
...  
Keyword(s):  
Comparative Study ◽  
Estimation Methods ◽  
Brain Deformation

Coupling tumor growth with brain deformation: a constrained parametric non-rigid registration problem

2010 ◽  
Author(s):  
Andreas Mang ◽  
Stefan Becker ◽  
Alina Toma ◽  
Thorsten M. Buzug
Keyword(s):  
Tumor Growth ◽  
Rigid Registration ◽  
Brain Deformation

scholarly journals 3-D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models

2019 ◽  
Vol 66 (5) ◽  
pp. 1456-1467 ◽  
Author(s):  
Arnold D. Gomez ◽  
Andrew K. Knutsen ◽  
Fangxu Xing ◽  
Yuan-Chiao Lu ◽  
Deva Chan ◽  
...  
Keyword(s):  
Finite Element ◽  
Phase Analysis ◽  
Finite Element Models ◽  
Harmonic Phase ◽  
Brain Deformation ◽  
Harmonic Phase Analysis

scholarly journals Evaluation of Head Injury Criteria for Injury Prediction Effectiveness: Computational Reconstruction of Real-World Vulnerable Road User Impact Accidents

2021 ◽  
Vol 9 ◽  
Author(s):  
Fang Wang ◽  
Zhen Wang ◽  
Lin Hu ◽  
Hongzhen Xu ◽  
Chao Yu ◽  
...  
Keyword(s):  
Head Injury ◽  
Real World ◽  
Head Injuries ◽  
Axonal Injury ◽  
Diffuse Axonal Injury ◽  
Road User ◽  
Injury Criteria ◽  
Brain Deformation ◽  
Vulnerable Road User ◽  
Head Injury Criteria

This study evaluates the effectiveness of various widely used head injury criteria (HICs) in predicting vulnerable road user (VRU) head injuries due to road traffic accidents. Thirty-one real-world car-to-VRU impact accident cases with detailed head injury records were collected and replicated through the computational biomechanics method; head injuries observed in the analyzed accidents were reconstructed by using a finite element (FE)-multibody (MB) coupled pedestrian model [including the Total Human Model for Safety (THUMS) head–neck FE model and the remaining body segments of TNO MB pedestrian model], which was developed and validated in our previous study. Various typical HICs were used to predict head injuries in all accident cases. Pearson’s correlation coefficient analysis method was adopted to investigate the correlation between head kinematics-based injury criteria and the actual head injury of VRU; the effectiveness of brain deformation-based injury criteria in predicting typical brain injuries [such as diffuse axonal injury diffuse axonal injury (DAI) and contusion] was assessed by using head injury risk curves reported in the literature. Results showed that for head kinematics-based injury criteria, the most widely used HICs and head impact power (HIP) can accurately and effectively predict head injury, whereas for brain deformation-based injury criteria, the maximum principal strain (MPS) behaves better than cumulative strain damage measure (CSDM0.15 and CSDM0.25) in predicting the possibility of DAI. In comparison with the dilatation damage measure (DDM), MPS seems to better predict the risk of brain contusion.

On the Effects of Model Complexity in Computing Brain Deformation for Image-Guided Neurosurgery

2011 ◽  
pp. 51-61
Author(s):  
Jiajie Ma ◽  
Adam Wittek ◽  
Benjamin Zwick ◽  
Grand R. Joldes ◽  
Simon K. Warfield ◽  
...  
Keyword(s):  
Model Complexity ◽  
Image Guided ◽  
Brain Deformation

Head Impact Modeling to Support a Rotational Combat Helmet Drop Test

2021 ◽  
Author(s):  
Ryan Terpsma ◽  
Rika Wright Carlsen ◽  
Ron Szalkowski ◽  
Sushant Malave ◽  
Alice Lux Fawzi ◽  
...  
Keyword(s):  
Human Head ◽  
Mechanical Stimulus ◽  
Scientific Basis ◽  
Test Method ◽  
Drop Test ◽  
Head Impacts ◽  
Digital Twin ◽  
Brain Deformation ◽  
Acceleration Time Histories ◽  
Hybrid Iii

ABSTRACT Introduction The Advanced Combat Helmet (ACH) military specification (mil-spec) provides blunt impact acceleration criteria that must be met before use by the U.S. warfighter. The specification, which requires a helmeted magnesium Department of Transportation (DOT) headform to be dropped onto a steel hemispherical target, results in a translational headform impact response. Relative to translations, rotations of the head generate higher brain tissue strains. Excessive strain has been implicated as a mechanical stimulus leading to traumatic brain injury (TBI). We hypothesized that the linear constrained drop test method of the ACH specification underreports the potential for TBI. Materials and Methods To establish a baseline of translational acceleration time histories, we conducted linear constrained drop tests based on the ACH specification and then performed simulations of the same to verify agreement between experiment and simulation. We then produced a high-fidelity human head digital twin and verified that biological tissue responses matched experimental results. Next, we altered the ACH experimental configuration to use a helmeted Hybrid III headform, a freefall cradle, and an inclined anvil target. This new, modified configuration allowed both a translational and a rotational headform response. We applied this experimental rotation response to the skull of our human digital twin and compared brain deformation relative to the translational baseline. Results The modified configuration produced brain strains that were 4.3 times the brain strains from the linear constrained configuration. Conclusions We provide a scientific basis to motivate revision of the ACH mil-spec to include a rotational component, which would enhance the test’s relevance to TBI arising from severe head impacts.

A study of brain deformation mechanism in baseball impact

2020 ◽  
Vol 2020.31 (0) ◽  
pp. 1C30
Author(s):  
Yuki KONDO ◽  
Koji MIZUNO ◽  
Daisuke ITO
Keyword(s):  
Deformation Mechanism ◽  
Brain Deformation
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