scholarly journals Pointwise characterization of the elastic properties of planar soft tissues: application to ascending thoracic aneurysms

2015 ◽  
Vol 14 (5) ◽  
pp. 967-978 ◽  
Author(s):  
Frances M. Davis ◽  
Yuanming Luo ◽  
Stéphane Avril ◽  
Ambroise Duprey ◽  
Jia Lu
Keyword(s):  
Elastic Properties ◽  
Soft Tissues ◽  
Thoracic Aneurysms ◽  
Pointwise Characterization

Design and validation of a modular micro-robotic system for the mechanical characterization of soft tissues

2021 ◽  
Author(s):  
Andrea Acuna ◽  
Julian M. Jimenez ◽  
Naomi Deneke ◽  
Sean M. Rothenberger ◽  
Sarah Libring ◽  
...  
Keyword(s):  
Soft Tissues ◽  
Mechanical Characterization ◽  
Robotic System

Thermorheological Characterization of Elastoviscoplastic Carbopol Ultrez 20 Gel

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
M. A. Hassan ◽  
Manabendra Pathak ◽  
Mohd. Kaleem Khan
Keyword(s):  
Experimental Investigation ◽  
Yield Stress ◽  
Elastic Properties ◽  
Viscous Dissipation ◽  
Power Law ◽  
Effect Of Temperature ◽  
Rheological Parameters ◽  
Frequency Range ◽  
Power Law Index

The temperature and concentration play an important role on rheological parameters of the gel. In this work, an experimental investigation of thermorheological properties of aqueous gel Carbopol Ultrez 20 for various concentrations and temperatures has been presented. Both controlled stress ramps and controlled stress oscillatory sweeps were performed for obtaining the rheological data to find out the effect of temperature and concentration. The hysteresis or thixotropic seemed to have negligible effect. Yield stress, consistency factor, and power law index were found to vary with temperature as well as concentration. With gel concentration, the elastic effect was found to increase whereas viscous dissipation effect was found to decrease. Further, the change in elastic properties was insignificant with temperature in higher frequency range of oscillatory stress sweeps.

Thumb Injuries and Instabilities. Part 2: Spectrum of Lesions

2021 ◽  
Vol 25 (02) ◽  
pp. 355-365
Author(s):  
Alain G. Blum ◽  
Marnix T. van Holsbeeck ◽  
Stefano Bianchi
Keyword(s):  
Soft Tissues ◽  
Imaging Techniques ◽  
Metacarpophalangeal Joint ◽  
Resonance Imaging ◽  
Ligament Injuries ◽  
First Line ◽  
Collateral Ligament ◽  
Traumatic Injuries ◽  
Line Imaging

AbstractThe motor function of the thumb and its alignment with regard to the hand make it particularly vulnerable to trauma. Pathology encountered in this joint is varied, and imaging techniques play a crucial role in the diagnosis and characterization of injury. Despite advances in imaging technology, acute thumb injuries remain a challenge for radiologists. Currently, standard radiography and ultrasonography are frequently used first-line imaging techniques. Computed tomography is most often indicated for complex fractures and dislocations. Magnetic resonance imaging may be used to optimally characterize soft tissues and bone marrow. In this article, we cover the most common traumatic injuries: fractures, dislocations, collateral ligament injuries of the metacarpophalangeal joint, as well as soft tissue lesions.

A NEW PARAMETER ESTIMATION METHOD FOR ONLINE SOFT TISSUE CHARACTERIZATION

2016 ◽  
Vol 16 (08) ◽  
pp. 1640019 ◽  
Author(s):  
JAEHYUN SHIN ◽  
YONGMIN ZHONG ◽  
JULIAN SMITH ◽  
CHENGFAN GU
Keyword(s):  
Soft Tissue ◽  
Linear Regression ◽  
Tissue Characterization ◽  
Soft Tissues ◽  
Unscented Kalman Filter ◽  
Estimation Method ◽  
Regression Method ◽  
Linear Regression Method ◽  
Non Linear

Dynamic soft tissue characterization is of importance to robotic-assisted minimally invasive surgery. The traditional linear regression method is unsuited to handle the non-linear Hunt–Crossley (HC) model and its linearization process involves a linearization error. This paper presents a new non-linear estimation method for dynamic characterization of mechanical properties of soft tissues. In order to deal with non-linear and dynamic conditions involved in soft tissue characterization, this method improves the non-linearity and dynamics of the HC model by treating parameter [Formula: see text] as independent variable. Based on this, an unscented Kalman filter is developed for online estimation of soft tissue parameters. Simulations and comparison analysis demonstrate that the proposed method is able to estimate mechanical parameters for both homogeneous tissues and heterogeneous and multi-layer tissues, and the achieved performance is much better than that of the linear regression method.

Sign in / Sign up

Export Citation Format

Share Document