scholarly journals Full-Field Viscoelastic Inflation Response of Bovine Cornea

2008 ◽  
Author(s):  
B. L. Boyce ◽  
T. D. Nguyen ◽  
R. E. Jones
Keyword(s):  
Real Time ◽  
Experimental Studies ◽  
Time Dependent ◽  
Full Field ◽  
3 Dimensional ◽  
Displacement Mapping ◽  
Mapping Tool ◽  
Unique Approach ◽  
In Vivo Characterization

Most previous experimental studies and mechanical cornea models have ignored time-dependence of the cornea’s modulus, with only a few notable exceptions [1–3]. The purpose of the present work was to evaluate the time-dependent properties of cornea tissue independent of scleral contributions in a condition that is as physiologically-relevant as possible without resorting to costly and difficult in vivo characterization. A non-contact 3-dimensional displacement mapping tool was employed to image the entire deformation field across the entire cornea in real-time during pressurization. Unlike prior inflation-based studies, the present study’s unique approach permits dynamic real-time full-field mapping of deformation during inflation for the examination of viscoelasticity, isotropy, and homogeneity.

The role of quantitation of real-time 3-dimensional contrast-enhanced ultrasound in detecting microvascular invasion: an in vivo study

2016 ◽  
Vol 41 (10) ◽  
pp. 1973-1979 ◽  
Author(s):  
Zhu Wang ◽  
Wei Wang ◽  
Guang-Jian Liu ◽  
Zheng Yang ◽  
Li-Da Chen ◽  
...  
Keyword(s):  
Real Time ◽  
Microvascular Invasion ◽  
In Vivo Study ◽  
Contrast Enhanced Ultrasound ◽  
3 Dimensional ◽  
Contrast Enhanced

scholarly journals Cancer cells mimic in vivo spatial-temporal cell-cycle phase distribution and chemosensitivity in 3-dimensional Gelfoam® histoculture but not 2-dimensional culture as visualized with real-time FUCCI imaging

Cell Cycle ◽  
2015 ◽  
Vol 14 (6) ◽  
pp. 808-819 ◽  
Author(s):  
Shuya Yano ◽  
Shinji Miwa ◽  
Sumiyuki Mii ◽  
Yukihiko Hiroshima ◽  
Fuminaru Uehara ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cancer Cells ◽  
Real Time ◽  
Phase Distribution ◽  
Cell Cycle Phase ◽  
Cycle Phase ◽  
3 Dimensional ◽  
Cell Cycle Phase Distribution

Real-Time In Vivo Characterization of Primary Liver Tumors With Diffuse Optical Spectroscopy During Percutaneous Needle Interventions

2015 ◽  
Vol 50 (7) ◽  
pp. 443-448 ◽  
Author(s):  
Rami Nachabé ◽  
Benno H.W. Hendriks ◽  
Ross Schierling ◽  
Jasmine Hales ◽  
Judy M. Racadio ◽  
...  
Keyword(s):  
Real Time ◽  
Optical Spectroscopy ◽  
Liver Tumors ◽  
Diffuse Optical Spectroscopy ◽  
Primary Liver Tumors ◽  
In Vivo Characterization ◽  
Needle Interventions

Real-time 3-Dimensional Doppler Echocardiography for the Assessment of Stroke Volume: An In Vivo Human Study Compared with Standard 2-Dimensional Echocardiography

2005 ◽  
Vol 18 (10) ◽  
pp. 1030-1036 ◽  
Author(s):  
James Pemberton ◽  
Xiaokui Li ◽  
Antoinette Kenny ◽  
Crispin H. Davies ◽  
Mary S. Minette ◽  
...  
Keyword(s):  
Stroke Volume ◽  
Real Time ◽  
Doppler Echocardiography ◽  
Human Study ◽  
3 Dimensional ◽  
Dimensional Echocardiography

scholarly journals A new method for the in vivo identification of degenerated material property ranges of the human eye: feasibility analysis based on synthetic data

2021 ◽  
Author(s):  
Stefan Muench ◽  
Mike Roellig ◽  
Daniel Balzani
Keyword(s):  
Real Time ◽  
Test Data ◽  
Synthetic Data ◽  
New Method ◽  
Data Sets ◽  
New Approach ◽  
Full Field ◽  
Material Parameters ◽  
Virtual Test

AbstractThis paper proposes a new method for in vivo and almost real-time identification of biomechanical properties of the human cornea based on non-contact tonometer data. Further goal is to demonstrate the method’s functionality based on synthetic data serving as reference. For this purpose, a finite element model of the human eye is constructed to synthetically generate full-field displacements from different data sets with keratoconus-like degradations. Then, a new approach based on the equilibrium gap method combined with a mechanical morphing approach is proposed and used to identify the material parameters from virtual test data sets. In a further step, random absolute noise is added to the virtual test data to investigate the sensitivity of the new approach to noise. As a result, the proposed method shows a relevant accuracy in identifying material parameters based on full-field displacements. At the same time, the method turns out to work almost in real time (order of a few minutes on a regular workstation) and is thus much faster than inverse problems solved by typical forward approaches. On the other hand, the method shows a noticeable sensitivity to rather small noise amplitudes rendering the method not accurate enough for the precise identification of individual parameter values. However, analysis show that the accuracy is sufficient for the identification of property ranges which might be related to diseased tissues. Thereby, the proposed approach turns out promising with view to diagnostic purposes.

Noninvasive and real‐time in vivo characterization of Inflammation skin. A feasibility of animal study

2021 ◽  
Author(s):  
Thien Luan Phan ◽  
Nguyen Van Hieu ◽  
Tzong Shiun Li ◽  
Ko‐Chang Tsao ◽  
Congo Tak Shing Ching
Keyword(s):  
Real Time ◽  
Animal Study ◽  
In Vivo Characterization

Time-dependent diffuse reflectance spectroscopy for in vivo characterization of pediatric epileptogenic brain lesions

2008 ◽  
Author(s):  
Sanghoon Oh ◽  
John Ragheb ◽  
Sanjiv Bhatia ◽  
David Sandberg ◽  
Mahlon Johnson ◽  
...  
Keyword(s):  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Brain Lesions ◽  
Time Dependent ◽  
In Vivo Characterization

A full-field and real-time 3D surface imaging augmented DOT system for in-vivo small animal studies

2010 ◽  
Author(s):  
Steven X. Yi ◽  
Bingcheng Yang ◽  
Gongjie Yin
Keyword(s):  
Real Time ◽  
Animal Studies ◽  
Small Animal ◽  
Surface Imaging ◽  
Full Field ◽  
3D Surface ◽  
3D Surface Imaging

In vivo real-time full-field OCT imaging and angiography of human eye

2020 ◽  
Author(s):  
Peng Xiao ◽  
Viacheslav Mazlin ◽  
A. Claude Boccara ◽  
Mathias Fink ◽  
Jin Yuan
Keyword(s):  
Real Time ◽  
Full Field ◽  
Human Eye ◽  
Oct Imaging
Sign in / Sign up

Export Citation Format

Share Document