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| 1 | Measurement of viscoelastic properties of injured mouse brain after controlled cortical impact显示文摘Mechanical properties of brain tissue can provide vital information for understanding the mechanism of traumatic brain injury(TBI).As mouse models were commonly adopted for TBI studies,a method to produce injury to the brain and characterize the injured tissue is desired.In this paper,a complete workflow of TBI induction,sample preparation,and biomechanical characterization is presented for measurement of the injured brain tissue.A controlled cortical impact device was used to induce injury to the brain.By setting the angle,speed,and position of the impact,the level of brain injuries could be controlled.Viscoelastic properties of both injured and non-injured brain tissues were measured using a ramp-hold indentation test.Regions of interests(ROIs)were tested and compared to contralateral corresponding counterparts.Methods introduced in this paper could be easily extended to produce and test a variety of other injured soft biological tissues. | Yu Chen Suhao Qiu Cheng Wang Xiaowei Li Yaohui Tang Yuan Feng | 2020 | Biophysics Reports2020，6，4： | 0 |
| 2 | Comparative analysis of indentation and magnetic resonance elastography for measuring viscoelastic properties显示文摘Measurement the viscoelastic properties is important for studying the developmental and pathological behavior of soft biological tissues.Magnetic resonance elastography(MRE)is a non-invasive method for in vivo measurement of tissue viscoelasticity.As a flexible method capable of testing small samples,indentation has been widely used for characterizing soft tissues.Using 2nd-order Prony series and dimensional analysis,we analyzed and compared the model parameters estimated from both indentation and MRE.Conversions of the model parameters estimated from the two methods were established.We found that the indention test is better at capturing the dynamic response of tissues at a frequency less than 10 Hz,while MRE is better for describing the frequency responses at a relatively higher range.The results provided helpful information for testing soft tissues using indentation and MRE.The models analyzed are also helpful for quantifying the frequency response of viscoelastic tissues. | Yu Chen Suhao Qiu Zhao He Fuhua Yan Ruokun Li Yuan Feng | 2021 | Acta Mechanica Sinica2021，37，3： | 0 |
| 3 | Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions显示文摘Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain.Because placement affects performance,image guidance and robotic assistance techniques have been widely adopted.These methods require accurate prediction of brain deformation during and following implantation.In this study,a magnetic resonance(MR)image-based finite element(FE)model was proposed by using a coupled Eulerian-Lagrangian method.Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space.The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the corpus callosum(CC)region.The results showed that the maximum displacement of the corpus callosum increase with an increase of interventional angle with respect to the midline.The maximum displacement of the corpus callosum for different interventional locations was predicted,which is related to the brain curvature and the distance between the interventional area and corpus callosum(CC).The estimated displacement magnitude of the CC region followed those obtained from clinical observations.The proposed method provided an automatic pipeline for generating realistic computational models for interventional surgery.Results also demonstrated the potential of constructing patient-specific models for image-guided,robotic neurological surgery. | Yongqiang Li Changxin Lai Chengchen Zhang Alexa Singer Suhao Qiu Boming Sun Michael S.Sacks Yuan Feng | 2019 | Molecular & Cellular Biomechanics2019，16，4： | 0 |
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