Published February 17, 2020 | Version v2
Dataset Open

Data from Uniaxial Compression testing and validation scripts for Cauchy stress modeling to design anatomical silicone replicas

  • 1. National Center for Tumor Diseases (NCT) Dresden, Technical University Dresden, Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
  • 2. Centre for Translational Bone, Joint and Soft Tissue Research, Faculty of Medicine University Hospital Carl Gustav Carus, Dresden, Germany
  • 3. Faculty of Medicine University Hospital Carl Gustav Carus, Dresden, Germany
  • 4. National Center for Tumor Diseases (NCT) Dresden, Faculty of Medicine University Hospital Carl Gustav Carus, National Centre for Radiation Research in Oncology (OncoRay), Technical University Dresden, Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany

* Contact person

Description

Anatomically realistic organ replicas or phantoms allow for accurate studies and reproducible research. To recreate a human kidney, mimicry of the viscoelastic properties of the human kidney is crucial. However, none of the related work addressed the design and development of a kidney phantom using only silicone as material. In contrast to paraffin and hydrogel, silicone is an ideal variant for its extended shelf life, soft-tissue-like feeling, and viscoelastic modularity. To this end, we conducted uniaxial compression testing and Cauchy stress modeling. Results indicate that none of the available manufacturer silicone brands are suitable for the task of creating a realistic kidney phantom. Indeed, the tested silicone mixtures in low and high strain do not fall within the required approximate target compressive moduli of 20 kPa and 500 kPa, respectively. This work provides a frame of reference for future work by avoiding the pitfalls of the selected ready-made silicones and reusing the reported theoretical and experimental setup to design a realistic replica of the kidney organ.

Files

File preview

files_description.md

All files

Files (27.3 MiB)

Name Size
md5:d9ebe1ad61895b3422869be60605b486
369 Bytes Preview Download
md5:f14c03a607a6811c49ca58689896ab21
27.3 MiB Preview Download
md5:2ab724713fdaf49e4523c4503bfd068d
18.2 KiB Preview Download
md5:4ea31a40fc13515e96e6a12bbe7c60b8
2.9 KiB Preview Download

References

Journal reference (Paper in which the method is described)
G. Hattab, T. Ahlfeld, A. Klimova, A. Koepp, M. Schuerer, S. Speidel. Scientific Reports (2020), doi: 10.1038/s41598-020-68886-3