Literature DB >> 21724500

Measurement of lung hyperelastic properties using inverse finite element approach.

Ali Sadeghi Naini1, Rajni V Patel, Abbas Samani.   

Abstract

Hyperelastic properties of deflated lung tissue have been characterized via an inverse finite element approach. Such properties are useful in many medical diagnosis and treatment applications where tissue deformation can be modeled to account for during the procedure. Several indentation experiments were conducted on various porcine lungs' tissue specimens resected immediately from different regions and lobes after the animals were sacrificed. Three different strain energy models, namely Ogden, Yeoh, and Polynomial, were used and respective hyperelastic parameters were obtained. The parameters for each model were estimated through an optimization process where the experimental force-displacement profiles of indentation were fitted to those obtained from finite element simulations performed specifically for the samples' geometries. Results obtained in this investigation for all the three models indicate convergence with reasonably low average fitting errors ranging from 2.3% to 6.2%. Independent tests were also performed to assess the effects of samples' heterogeneities on the obtained parameters. The outcome of these tests was encouraging and confirmed small impact of tissue inhomogeneities on the estimated parameters. The reported hyperelastic properties can, accordingly, pave the way for more accurate biomechanical modeling of the lung's soft tissue in the emerging applications of minimally invasive medical intervention for lung cancer diagnosis and treatment.

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Year:  2011        PMID: 21724500     DOI: 10.1109/TBME.2011.2160637

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

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Authors:  Murali M Yallapu; Kalpana S Katti; Dinesh R Katti; Sanjay R Mishra; Sheema Khan; Meena Jaggi; Subhash C Chauhan
Journal:  Med Res Rev       Date:  2014-08-18       Impact factor: 12.944

2.  Determination of mechanical properties of spatially heterogeneous breast tissue specimens using contact mode atomic force microscopy (AFM).

Authors:  Rajarshi Roy; Jaydev P Desai
Journal:  Ann Biomed Eng       Date:  2014-09       Impact factor: 3.934

3.  N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation.

Authors:  Wei Shao; Taylor J Patton; Sarah E Gerard; Yue Pan; Joseph M Reinhardt; Oguz C Durumeric; John E Bayouth; Gary E Christensen
Journal:  IEEE Trans Med Imaging       Date:  2019-12-30       Impact factor: 10.048

4.  Inverse finite-element modeling for tissue parameter identification using a rolling indentation probe.

Authors:  Hongbin Liu; Kiattisak Sangpradit; Min Li; Prokar Dasgupta; Kaspar Althoefer; Lakmal D Seneviratne
Journal:  Med Biol Eng Comput       Date:  2013-09-15       Impact factor: 2.602

5.  Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning.

Authors:  You Zhang; Xiaokun Huang; Jing Wang
Journal:  Vis Comput Ind Biomed Art       Date:  2019-12-12
  5 in total

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