scholarly journals Standardized 3D Bioprinting of Soft Tissue Models with Human Primary Cells

2016 ◽  
Vol 21 (4) ◽  
pp. 496-509 ◽  
Author(s):  
Markus Rimann ◽  
Epifania Bono ◽  
Helene Annaheim ◽  
Matthias Bleisch ◽  
Ursula Graf-Hausner
2008 ◽  
Vol 131 (2) ◽  
pp. 160-169 ◽  
Author(s):  
Wei Wang ◽  
Ping Yu ◽  
Peng Zhang ◽  
Yujun Shi ◽  
Hong Bu ◽  
...  

2017 ◽  
Author(s):  
Zbigniew Starosolski ◽  
David S. Ezon ◽  
Rajesh Krishnamurthy ◽  
Nicholas Dodd ◽  
Jeffrey Heinle ◽  
...  

2018 ◽  
Vol 132 ◽  
pp. 235-251 ◽  
Author(s):  
Xuanyi Ma ◽  
Justin Liu ◽  
Wei Zhu ◽  
Min Tang ◽  
Natalie Lawrence ◽  
...  

Author(s):  
Federica Marasca ◽  
Alice Cortesi ◽  
Lara Manganaro ◽  
Beatrice Bodega

Author(s):  
Jason P. Halloran ◽  
Marko Ackermann ◽  
Ahmet Erdemir ◽  
Antonie J. van den Bogert

Current computational methods of simulating activities of daily living (ADL) have primarily consisted of musculoskeletal simulations [1]. Due to computational expense, simulations generally include assumptions which simplify joint or soft-tissue behavior. Joints are modeled as hinge or spherical and soft-tissue effects are included as spring-dashpot systems. Incorporating detailed deformable soft-tissue models would help overcome simplifying assumptions by coupling the behavior of a muscle loaded model with the underlying structures. Important clinical applications for a multi-domain simulation framework include, but are hardly limited to, predicting modifications to ADL to compensate for osteoarthritic pain or minimizing peak plantar pressures, which are believed to be significant for diabetic foot ulceration.


Author(s):  
Xiaodong Zhao ◽  
Baoxiang Shan ◽  
Assimina A. Pelegri

An integrated system is built to model and simulate the dynamic response of soft tissues. The mathematical formulation employs finite element and model order reduction approaches to develop a state space model for soft tissues that allows for time-efficient numerical analysis. The stimulus device and signal processing routines are built in Matlab/Simulink and then integrated with the finite element state space model. This integrated system facilitates expeditious numerical evaluation of different soft tissue models subjected to dynamic excitation. It further elucidates the effect of different stimulus sources, as well as relative influences of different sources of uncertainty.


2018 ◽  
Vol 15 (11) ◽  
pp. 941-946 ◽  
Author(s):  
Pamela Y. Ting ◽  
Albert E. Parker ◽  
J. Scott Lee ◽  
Chris Trussell ◽  
Orzala Sharif ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document