A novel deformation method for fast simulation of biological tissue formed by fibers and fluid

Costa, Ivan F.

doi:10.1016/j.media.2012.04.002

“…Their numerical methodology was validated and tested through breast compression simulations for five patient-specific cases, and their results revealed that both the heterogeneity and the anisotropy of soft tissues are essential in predicting accurate large breast deformations under plate compression, despite the fact that the skin wasn't explicitly modelled in their analyses. Costa (2012) proposed an interesting alternative numerical approach for large deformation analysis of soft tissues. Breast tissue bulk was modelled as an incompressible fluid medium, while a dense network of distensible elastic fibers connecting the surface (boundary) vertices was also considered.…”

Section: 'State-of-the-art' In Breast Biomechanicsmentioning

confidence: 99%

A review of biomechanically informed breast image registration

Hipwell

¹

,

Vavourakis

²

,

Han

³

et al. 2016

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Breast radiology encompasses the full range of imaging modalities from routine imaging via x-ray mammography, magnetic resonance imaging and ultrasound (both two- and three-dimensional), to more recent technologies such as digital breast tomosynthesis, and dedicated breast imaging systems for positron emission mammography and ultrasound tomography. In addition new and experimental modalities, such as Photoacoustics, Near Infrared Spectroscopy and Electrical Impedance Tomography etc, are emerging. The breast is a highly deformable structure however, and this greatly complicates visual comparison of imaging modalities for the purposes of breast screening, cancer diagnosis (including image guided biopsy), tumour staging, treatment monitoring, surgical planning and simulation of the effects of surgery and wound healing etc. Due primarily to the challenges posed by these gross, non-rigid deformations, development of automated methods which enable registration, and hence fusion, of information within and across breast imaging modalities, and between the images and the physical space of the breast during interventions, remains an active research field which has yet to translate suitable methods into clinical practice. This review describes current research in the field of breast biomechanical modelling and identifies relevant publications where the resulting models have been incorporated into breast image registration and simulation algorithms. Despite these developments there remain a number of issues that limit clinical application of biomechanical modelling. These include the accuracy of constitutive modelling, implementation of representative boundary conditions, failure to meet clinically acceptable levels of computational cost, challenges associated with automating patient-specific model generation (i.e. robust image segmentation and mesh generation) and the complexity of applying biomechanical modelling methods in routine clinical practice.

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“…Although much progress has been achieved in mimicking the physiology of tissue and organs using microchip manufacturing methods [4,15], contributions to realistic simulation of mechanically-functional biological tissues are limited. Most of the simulation tissues are passive having been used to characterize palpation [8,22] or for estimating parameters of viscoelastic interactive models of biological tissues during intervention of surgical robots [23,26].…”

Section: Introductionmentioning

confidence: 99%

Low-Power and Low-Cost Stiffness-Variable Oesophageal Tissue Phantom

Thorn

¹

,

Afacan

²

,

Ingham

³

et al. 2017

Towards Autonomous Robotic Systems

0

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Biological tissues are complex structures with changing mechanical properties depending on physiological or pathological factors. Thus they are extendible under normal conditions or stiff if they are subject to an inflammatory reaction. We design and fabricate a lowpower and low-cost stiffness-variable tissue phantom (SVTP) that can extend up to 250% and contract up to 5.4% at 5 V (1.4 W), mimicking properties of biological tissues. We investigated the mechanical characteristics of SVTP in simulation and experiment. We also demonstrate its potential by building an oesophagus phantom for testing appropriate force controls in a robotic implant that is meant to manipulate biological oesophageal tissues with changing stiffness in vivo. The entire platform permits efficient testing of robotic implants in the context of anomalies such as long gap esophageal atresia, and could potentially serve as a replacement for live animal tissues. A. Thorn and D. Afacan-Contributed equally.

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“…Although much progress has been achieved in mimicking the physiology of tissue and organs using microchip manufacturing methods [15,4], contributions to realistic simulation of mechanically-functional biological tissues are limited. Most of the simulation tissues are passive having been used to characterize palpation [22,8] or for estimating parameters of viscoelastic interactive models of biological tissues during intervention of surgical robots [26,23].…”

Section: Introductionmentioning

confidence: 99%

Towards Autonomous Robotic Systems

Gao¹,

Fallah²,

Jin³

et al. 2017

Lecture Notes in Computer Science

12

0

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Biological tissues are complex structures with changing mechanical properties depending on physiological or pathological factors. Thus they are extendible under normal conditions or stiff if they are subject to an inflammatory reaction. We design and fabricate a lowpower and low-cost stiffness-variable tissue phantom (SVTP) that can extend up to 250% and contract up to 5.4% at 5 V (1.4 W), mimicking properties of biological tissues. We investigated the mechanical characteristics of SVTP in simulation and experiment. We also demonstrate its potential by building an oesophagus phantom for testing appropriate force controls in a robotic implant that is meant to manipulate biological oesophageal tissues with changing stiffness in vivo. The entire platform permits efficient testing of robotic implants in the context of anomalies such as long gap esophageal atresia, and could potentially serve as a replacement for live animal tissues.

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A novel deformation method for fast simulation of biological tissue formed by fibers and fluid

Cited by 11 publications

References 36 publications

A review of biomechanically informed breast image registration

A review of biomechanically informed breast image registration

Low-Power and Low-Cost Stiffness-Variable Oesophageal Tissue Phantom

Towards Autonomous Robotic Systems

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