Literature DB >> 25186433

Linear elastic properties of the facial soft tissues using an aspiration device: towards patient specific characterization.

V Luboz1, E Promayon, Y Payan.   

Abstract

Biomechanical modeling of the facial soft tissue behavior is needed in aesthetic or maxillo-facial surgeries where the simulation of the bone displacements cannot accurately predict the visible outcome on the patient's face. Because these tissues have different nature and elastic properties across the face, depending on their thickness, and their content in fat or muscle, individualizing their mechanical parameters could increase the simulation accuracy. Using a specifically designed aspiration device, the facial soft tissues deformation is measured at four different locations (cheek, cheekbone, forehead, and lower lip) on 16 young subjects. The stiffness is estimated from the deformations generated by a set of negative pressures using an inverse analysis based on a Neo Hookean model. The initial Young's modulus of the cheek, cheekbone, forehead, and lower lip are respectively estimated to be 31.0 kPa±4.6, 34.9 kPa±6.6, 17.3 kPa±4.1, and 33.7 kPa±7.3. Significant intra-subject differences in tissue stiffness are highlighted by these estimations. They also show important inter-subject variability for some locations even when mean stiffness values show no statistical difference. This study stresses the importance of using a measurement device capable of evaluating the patient specific tissue stiffness during an intervention.

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Year:  2014        PMID: 25186433     DOI: 10.1007/s10439-014-1098-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  7 in total

1.  An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation.

Authors:  Xiaoyan Zhang; Zhen Tang; Michael A K Liebschner; Daeseung Kim; Shunyao Shen; Chien-Ming Chang; Peng Yuan; Guangming Zhang; Jaime Gateno; Xiaobo Zhou; Shao-Xiang Zhang; James J Xia
Journal:  Ann Biomed Eng       Date:  2015-10-13       Impact factor: 3.934

2.  Which endotracheal tube location minimises the device-related pressure ulcer risk: The centre or a corner of the mouth?

Authors:  Golan Amrani; Amit Gefen
Journal:  Int Wound J       Date:  2019-11-14       Impact factor: 3.315

3.  A durable nanomesh on-skin strain gauge for natural skin motion monitoring with minimum mechanical constraints.

Authors:  Yan Wang; Sunghoon Lee; Tomoyuki Yokota; Haoyang Wang; Zhi Jiang; Jiabin Wang; Mari Koizumi; Takao Someya
Journal:  Sci Adv       Date:  2020-08-12       Impact factor: 14.136

4.  An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation.

Authors:  Xiaoyan Zhang; Daeseung Kim; Shunyao Shen; Peng Yuan; Siting Liu; Zhen Tang; Guangming Zhang; Xiaobo Zhou; Jaime Gateno; Michael A K Liebschner; James J Xia
Journal:  Biomech Model Mechanobiol       Date:  2017-10-12

5.  Decoding of facial strains via conformable piezoelectric interfaces.

Authors:  Tao Sun; Farita Tasnim; Rachel T McIntosh; Nikta Amiri; Dana Solav; Mostafa Tavakkoli Anbarani; David Sadat; Lin Zhang; Yuandong Gu; M Amin Karami; Canan Dagdeviren
Journal:  Nat Biomed Eng       Date:  2020-10-22       Impact factor: 25.671

6.  Evaluation of facial tissue stresses under medical devices post application of a cyanoacrylate liquid skin protectant: An integrated experimental-computational study.

Authors:  Raz Margi; Amit Gefen
Journal:  Int Wound J       Date:  2021-08-17       Impact factor: 3.315

7.  A framework for effective face-mask contact modeling based on finite element analysis for custom design of a facial mask.

Authors:  Yun-Jae Kwon; Jin-Gyun Kim; Wonsup Lee
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

  7 in total

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