In vivo characterization of mechanical tissue properties of internal organs using endoscopic microscopy and inverse finite element analysis

Schwenninger, David; Schumann, Stefan; Guttmann, J.

doi:10.1016/j.jbiomech.2010.09.019

Cited by 19 publications

(18 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Material properties of the model were based on data results from Ref. 4 (shear modulus = 4.5 kPa and bulk modulus of air = 100 kPa).…”

Section: Model-based Evaluationmentioning

confidence: 99%

“…The optical change in the size of alveoli due to their movement toward the endoscope's tip due to the negative p Tip was thereby compensated for by reference measurement of the size of spherical ceramic particles that touched the lung's surface (method described in detail elsewhere 4 ). Any movement of the subpleural alveoli toward the endoscope's tip due to the negative p Tip results in an optical enlargement of alveoli and particles in the video.…”

Section: Influence Of Fixationmentioning

confidence: 99%

“…Any movement of the subpleural alveoli toward the endoscope's tip due to the negative p Tip results in an optical enlargement of alveoli and particles in the video. 4 However, the negative p Tip could lead to a physical enlargement of the alveoli but not of the particles. The relative change in alveolar area was divided by the relative change in particle area to retrieve the change in physical alveolar size [ A(p Tip )].…”

Section: Influence Of Fixationmentioning

confidence: 99%

“…For intravital analysis of mechanical tissue properties such as lung tissue mechanics, we recently introduced a method based on endoscopic microscopy. 4 In addition to this functional information about lung tissue mechanics, the same endoscopic method provides morphological information about the intrabreath cyclic changes of alveolar geometry. There have already been many studies that used experimental methods to optically track alveoli in mechanically ventilated animals, including the pioneering works of Nieman's group.…”

Section: Introductionmentioning

confidence: 99%

“…The method does not require removing the thoracic wall, thus allowing for free movement of the lung. It is based on an endoscopic system 4,16 that is inserted into the thoracic cavity through intercostal space. In this study, we evaluated the endoscopic IVM method, theoretically, by means of finite element (FE) models and, practically, by applying our method on isolated rat lungs and on lungs in intact rats (in vivo).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Intravital microscopy of subpleural alveoli via transthoracic endoscopy

et al. 2011

Self Cite

View full text Add to dashboard Cite

“…Material properties of the model were based on data results from Ref. 4 (shear modulus = 4.5 kPa and bulk modulus of air = 100 kPa).…”

Section: Model-based Evaluationmentioning

confidence: 99%

Section: Influence Of Fixationmentioning

confidence: 99%

Section: Influence Of Fixationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Intravital microscopy of subpleural alveoli via transthoracic endoscopy

et al. 2011

Self Cite

View full text Add to dashboard Cite

Probabilistic evaluation of the material properties of the in vivo subject‐specific articular surface using a computational model

et al. 2016

View full text Add to dashboard Cite

This article used probabilistic analysis to evaluate material properties of the in vivo subject-specific tibiofemoral (TF) joint model. Sensitivity analysis, based on a Monte Carlo (MC) method, was performed using a subject-specific finite element (FE) model generated from in vivo computed tomography (CT) and magnetic resonance imaging (MRI) data, subjected to two different loading conditions. Specifically, the effects of inherent uncertainty in ligament stiffness, horn attachment stiffness, and articular surface material properties were assessed using multifactorial global sensitivity analysis. The MRI images were taken before and after axial compression, and when the flexion condition had been maintained at up to 90 degree flexion in the subject-specific knee joint. The loading conditions of the probabilistic subject-specific FE model (axial compression and 90 degree flexion) were similar to the MRI acquisition setup. We were able to detect the influence of material parameters while maintaining the potential effect of parametric interactions. Throughout the in silico property optimization, a subject-specific FE model was used and less sensitive parameters were eliminated in the global sensitivity method. Soft tissue material properties were estimated using an optimization procedure that involved the minimization of the differences between the kinematics predicted by the subject-specific model and those obtained through in vivo subject-specific data. The results of this approach suggest that the articular surface mechanical properties could be found by using in vivo measurements, which clarifies the valuable tool for future subject-specific studies related to TF joint scaffolds, allografts and biologics. © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 105B: 1390-1400, 2017.

show abstract