Characterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ciencias
dc.contributor.authorTecse, A.
dc.contributor.authorRomero Gutierrez, S.E.
dc.contributor.authorNaemi, R.
dc.contributor.authorCastañeda, B.
dc.date.accessioned2026-03-13T16:57:34Z
dc.date.issued2023
dc.description.abstractAbstract Objective . The mechanical behaviour of soft tissue is influenced by its elastic and viscous characteristics. Therefore, the aim of this study was to develop a validated method to characterise the viscoelastic properties of soft tissues based on ultrasound elastography data. Approach . Plantar soft tissue was chosen as the tissue of interest, and gelatine-phantoms replicating its mechanical properties were manufactured for validation of the protocol. Both plantar soft tissue and the phantom were scanned using Reverberant shear wave ultrasound (US) elastography at 400–600 Hz. Shear wave speed was estimated using the US particle velocity data. The viscoelastic parameters were extracted by fitting the Young’s modulus as a function of frequency derived from the constitutive equations of the eight rheological models (four classic and their fractional-derivative versions) to the shear wave dispersion data. Furthermore, stress-time functions derived from the eight rheological models were fitted to the phantom stress-relaxation data. Main results . The viscoelastic parameters estimated using elastography data based on the fractional-derivative (FD) models, compared to the classic models, were closer to those quantified using the mechanical test. In addition, the FD-Maxwell and FD-Kelvin–Voigt models showed to more effectively replicate the viscoelastic behaviour of the plantar soft tissue with minimum number of model parameters ( R 2 = 0.72 for both models) . Hence the FD-KV and FD-Maxwell models can more effectively quantify the viscoelastic characteristics of the soft tissue compared to other models. Significance . In this study, a method for mechanical characterisation of the viscoelastic properties of soft tissue in ultrasound elastography was developed and fully validated. An investigation into the most valid rheological model and its applications in plantar soft tissue assessment were also presented. This proposed approach for the characterisation of viscous and elastic mechanical properties of soft tissue has implications in assessing the soft tissue function where those can be used as markers for diagnosis or prognosis of tissue status.
dc.description.sponsorshipFunding: This work was supported in part by the Binational UK-PERU Newton-Paulet Fund administered by the Fondo Nacional de Desarrollo Científico y Tecnológico—PERU under grant 232–2018-FONDECYT from the Peruvian Government. This study is also supported by the Newton Fund Institutional Links grant, under the project title: “Development of an ultrasound-based diagnostic tool to identify diabetic foot ulceration risk in Peruvian population”. This was a collaboration between Staffordshire University (UK) and Pontifical Catholic University of Peru, grant agreement number: 414703139. In particular, Stefano E. Romero received a scholarship for the doctoral program in Computer Science from CONCYTEC (174–2020-FONDECYT-PUCP). The authors also thank to Carlos Romero for his help during stress-relaxation tests on phantom samples.; Funding text 2: This work was supported in part by the Binational UK-PERU Newton-Paulet Fund administered by the Fondo Nacional de Desarrollo Científico y Tecnológico—PERU under grant 232-2018-FONDECYT from the Peruvian Government. This study is also supported by the Newton Fund Institutional Links grant, under the project title: “Development of an ultrasound-based diagnostic tool to identify diabetic foot ulceration risk in Peruvian population”. This was a collaboration between Staffordshire University (UK) and Pontifical Catholic University of Peru, grant agreement number: 414703139. In particular, Stefano E. Romero received a scholarship for the doctoral program in Computer Science from CONCYTEC (174-2020-FONDECYT-PUCP). The authors also thank to Carlos Romero for his help during stress-relaxation tests on phantom samples.
dc.identifier.doihttps://doi.org/10.1088/1361-6560/acc923
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205605
dc.language.isoeng
dc.publisherInstitute of Physics
dc.relation.ispartofurn:issn:0031-9155
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourcePhysics in Medicine and Biology; Vol. 68, Núm. 10 (2023)
dc.subjectSoft tissue
dc.subjectRheology
dc.subjectMaterials science
dc.subjectBiological tissue
dc.subjectElastography
dc.subjectBiomedical engineering
dc.subjectUltrasound
dc.subjectUltrasound elastography
dc.subjectComposite material
dc.subjectMedicine
dc.subjectRadiology
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.09.00
dc.titleCharacterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.otherArtículo
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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