In vivo quantification of a homogeneous brain deformation model for updating preoperative images during surgery

2000 ◽  
Vol 47 (2) ◽  
pp. 266-273 ◽  
Author(s):  
M.I. Miga ◽  
K.D. Paulsen ◽  
P.J. Hoopes ◽  
F.E. Kennedy ◽  
A. Hartov ◽  
...  
Keyword(s):  
Deformation Model ◽  
Brain Deformation

scholarly journals Theory of energy harvesting from heartbeat including the effects of pleural cavity and respiration

2017 ◽  
Vol 473 (2207) ◽  
pp. 20170615 ◽  
Author(s):  
Yangyang Zhang ◽  
Bingwei Lu ◽  
Chaofeng Lü ◽  
Xue Feng
Keyword(s):  
Energy Harvesting ◽  
Pleural Cavity ◽  
Scaling Law ◽  
Battery Life ◽  
Deformation Model ◽  
Experimental Measurements ◽  
Combined System ◽  
Energy Harvesters ◽  
Piezoelectric Energy

Self-powered implantable devices with flexible energy harvesters are of significant interest due to their potential to solve the problem of limited battery life and surgical replacement. The flexible electronic devices made of piezoelectric materials have been employed to harvest energy from the motion of biological organs. Experimental measurements show that the output voltage of the device mounted on porcine left ventricle in chest closed environment decreases significantly compared to the case of chest open. A restricted-space deformation model is proposed to predict the impeding effect of pleural cavity, surrounding tissues, as well as respiration on the efficiency of energy harvesting from heartbeat using flexible piezoelectric devices. The analytical solution is verified by comparing theoretical predictions to experimental measurements. A simple scaling law is established to analyse the intrinsic correlations between the normalized output power and the combined system parameters, i.e. the normalized permitted space and normalized electrical load. The results may provide guidelines for optimization of in vivo energy harvesting from heartbeat or the motions of other biological organs using flexible piezoelectric energy harvesters.

Development of a Single-Degree-of-Freedom Mechanical Model for Predicting Strain-Based Brain Injury Responses

2018 ◽  
Vol 140 (3) ◽  
Author(s):  
Lee F. Gabler ◽  
Hamed Joodaki ◽  
Jeff R. Crandall ◽  
Matthew B. Panzer
Keyword(s):  
Brain Injury ◽  
Degree Of Freedom ◽  
Deformation Model ◽  
Maximum Magnitude ◽  
Natural Period ◽  
Single Degree Of Freedom ◽  
Head Kinematics ◽  
Single Degree ◽  
Brain Deformation ◽  
Deformation Mechanics

Linking head kinematics to injury risk has been the focus of numerous brain injury criteria. Although many early forms were developed using mechanics principles, recent criteria have been developed using empirical methods based on subsets of head impact data. In this study, a single-degree-of-freedom (sDOF) mechanical analog was developed to parametrically investigate the link between rotational head kinematics and brain deformation. Model efficacy was assessed by comparing the maximum magnitude of displacement to strain-based brain injury predictors from finite element (FE) human head models. A series of idealized rotational pulses covering a broad range of acceleration and velocity magnitudes (0.1–15 krad/s2 and 1–100 rad/s) with durations between 1 and 3000 ms were applied to the mechanical models about each axis of the head. Results show that brain deformation magnitude is governed by three categories of rotational head motion each distinguished by the duration of the pulse relative to the brain's natural period: for short-duration pulses, maximum brain deformation depended primarily on angular velocity magnitude; for long-duration pulses, brain deformation depended primarily on angular acceleration magnitude; and for pulses relatively close to the natural period, brain deformation depended on both velocity and acceleration magnitudes. These results suggest that brain deformation mechanics can be adequately explained by simple mechanical systems, since FE model responses and experimental brain injury tolerances exhibited similar patterns to the sDOF model. Finally, the sDOF model was the best correlate to strain-based responses and highlighted fundamental limitations with existing rotational-based brain injury metrics.

Atlas of Acceleration-Induced Brain Deformation from Measurements In Vivo

2018 ◽  
pp. 3-14
Author(s):  
Arnold D. Gomez ◽  
Andrew Knutsen ◽  
Deva Chan ◽  
Yuan-Chiao Lu ◽  
Dzung L. Pham ◽  
...  
Keyword(s):  
Brain Deformation

scholarly journals In vivo estimates of axonal stretch and 3D brain deformation during mild head impact

2020 ◽  
Vol 1 ◽  
pp. 100015 ◽  
Author(s):  
Andrew K Knutsen ◽  
Arnold D. Gomez ◽  
Mihika Gangolli ◽  
Wen-Tung Wang ◽  
Deva Chan ◽  
...  
Keyword(s):  
Head Impact ◽  
Brain Deformation

3D ultrasound as sparse data for intraoperative brain deformation model

2001 ◽  
Author(s):  
Karen E. Lunn ◽  
Alex Hartov ◽  
Francis E. Kennedy ◽  
Michael I. Miga ◽  
David W. Roberts ◽  
...  
Keyword(s):  
3D Ultrasound ◽  
Sparse Data ◽  
Deformation Model ◽  
Brain Deformation

In Vivo Analysis of Heterogeneous Brain Deformation Computations for Model-Updated Image Guidance

2000 ◽  
Vol 3 (2) ◽  
pp. 129-146 ◽  
Author(s):  
MICHAEL I. MIGA ◽  
KEITH D. PAULSEN ◽  
FRANCIS E. KENNEDY ◽  
P. JACK HOOPES ◽  
ALEX HARTOV ◽  
...  
Keyword(s):  
Image Guidance ◽  
Brain Deformation ◽  
In Vivo Analysis
Sign in / Sign up

Export Citation Format

Share Document