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Method Article

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

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DOI:

10.3791/63770

May 10th, 2022

In This Article

Summary

This article presents a demonstration and summary of protocols of making gelatin phantoms that mimic soft tissues, and the corresponding viscoelastic characterization using indentation and magnetic resonance elastography.

Abstract

Characterization of biomechanical properties of soft biological tissues is important to understand the tissue mechanics and explore the biomechanics-related mechanisms of disease, injury, and development. The mechanical testing method is the most straightforward way for tissue characterization and is considered as verification for in vivo measurement. Among the many ex vivo mechanical testing techniques, the indentation test provides a reliable way, especially for samples that are small, hard to fix, and viscoelastic such as brain tissue. Magnetic resonance elastography (MRE) is a clinically used method to measure the biomechanical properties of soft tissues. Based on shear wave propagation in soft tissues recorded using MRE, viscoelastic properties of soft tissues can be estimated in vivo based on wave equation. Here, the viscoelastic properties of gelatin phantoms with two different concentrations were measured by MRE and indentation. The protocols of phantom fabrication, testing, and modulus estimation have been presented.

Introduction

Most of the soft biological tissues appear to have viscoelastic properties that are important to understand their injury and development1,2. In addition, viscoelastic properties are important biomarkers in the diagnosis of a variety of diseases such as fibrosis and cancer3,4,5,6. Therefore, the characterization of viscoelastic properties of soft tissues is crucial. Among the many characterization techniques used, ex vivo mechanical testing of tissue samples and in vivo

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Protocol

1. Gelatin phantom preparation

  1. Weigh gelatin, glycerol, and water according to Table 1. Mix the gelatin powder with water to obtain the gelatin solution.
    NOTE: The concentrations of the individual components for preparing the two phantoms are shown in Table 1. The higher the concentration of gelatin, the stiffer the phantom.
  2. Heat the gelatin solution to 60 °C in a water bath. Add glycerol to the gelatin solution while maintaining the temperature.
    NOTE: Glycerol stabilizes gelatin mixtures by increasing their melting temperature and shear modulus17.
  3. Stir....

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Results

Following the MRE protocol, a clear shear wave propagation in the gelatin phantoms at 40 and 50 Hz were observed (Figure 3). The viscoelastic properties measured from MRE, and indentation tests are shown in Figure 4. The estimated G' and G" values at each testing for each phantom are summarized in Table 2. Following the indentation protocol, the viscoelastic properties of each phantom at each test point are summarized in Table 3.......

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Discussion

Gelatin phantoms are commonly used as tissue-mimicking materials for testing and validation of algorithms and devices17,19,22,23,24,25,26,27. One of the pioneering studies using the gelatin phantom to compare MRE and dynamic shear testing was presented by O.......

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Disclosures

Authors declare no conflicts of interest.

Acknowledgements

Funding support from the National Natural Science Foundation of China (grant 31870941), Natural Science Foundation of Shanghai (grant 22ZR1429600), and the Science and Technology Commission of Shanghai Municipality (grant 19441907700) is acknowledged.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
24-channel head & Neck coilUnited Imaging Healthcare100120Equipment
3T MR ScannerUnited Imaging HealthcareuMR 790Equipment
Acquisition boardAdvantech CoPCI-1706UEquipment
Computer-WindowsHP790-07Equipment
Electromagnetic actuatorShanghai Jiao Tong UniversityEquipment
Function generatorRIGOLDG1022ZEquipment
GelatinCARTE D’ORReagent
GlycerolVance Bioenergy Sdn.BhdReagent
Indenter control programcustom-designedSoftware; accessed via: https://github.com/aaronfeng369/FengLab_indentation_code.
Laser sensorPanasonicHG-C1050Equipment
Load cellTransducer TechniqueGSO-10Equipment
MATLABMathworksSoftware
Power amplifierYamahaA-S201Equipment
Voice coil electric motorSMAC CorporationDB2583Equipment

References

  1. Qiu, S., et al. Viscoelastic characterization of injured brain tissue after controlled cortical impact (CCI) using a mouse model. Journal of Neuroscience Methods. 330, 108463(2020).
  2. Garcia, K. E., et al.

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Tags

Indentation TestingSoft Tissue MechanicsShear Modulus EstimationBiomechanical PropertiesTissue Mimicking MaterialsWave Propagation ImagingMechanical Testing