Show simple item record

dc.contributor.authorSeyedpour, S. M.
dc.contributor.authorNafisi, S.
dc.contributor.authorNabati, M.
dc.contributor.authorPierce, D. M.
dc.contributor.authorReichenbach, J. R.
dc.contributor.authorRicken, T.
dc.date.accessioned2021-12-21T06:04:53Z
dc.date.available2021-12-21T06:04:53Z
dc.date.issued2022en_US
dc.identifier.citationSeyedpour, S. M., Nafisi, S., Nabati, M., Pierce, D. M., Reichenbach, J. R., & Ricken, T. (2022). Magnetic Resonance Imaging-based biomechanical simulation of cartilage: A systematic review. Journal of the mechanical behavior of biomedical materials, 126, 104963. Advance online publication.en_US
dc.identifier.urihttps://doi.org/10.1016/j.jmbbm.2021.104963
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2329
dc.description.abstractMRI-based mathematical and computational modeling studies can contribute to a better understanding of the mechanisms governing cartilage’s mechanical performance and cartilage disease. In addition, distinct modeling of cartilage is needed to optimize artificial cartilage production. These studies have opened up the prospect of further deepening our understanding of cartilage function. Furthermore, these studies reveal the initiation of an engineering-level approach to how cartilage disease affects material properties and cartilage function. Aimed at researchers in the field of MRI-based cartilage simulation, research articles pertinent to MRI-based cartilage modeling were identified, reviewed, and summarized systematically. Various MRI applications for cartilage modeling are highlighted, and the limitations of different constitutive models used are addressed. In addition, the clinical application of simulations and studied diseases are discussed. The paper’s quality, based on the developed questionnaire, was assessed, and out of 79 reviewed papers, 34 papers were determined as high-quality. Due to the lack of the best constitutive models for various clinical conditions, researchers may consider the effect of constitutive material models on the cartilage disease simulation. In the future, research groups may incorporate various aspects of machine learning into constitutive models and MRI data extraction to further refine the study methodology. Moreover, researchers should strive for further reproducibility and rigorous model validation and verification, such as gait analysis.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.jmbbm.2021.104963en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiomechanicsen_US
dc.subjectCartilageen_US
dc.subjectClinical Applicationen_US
dc.subjectConstitutive Modelen_US
dc.subjectMagnetic Resonance Imaging (MRI)en_US
dc.subjectOsteoarthritisen_US
dc.titleMagnetic Resonance Imaging-based biomechanical simulation of cartilage: a systematic reviewen_US
dc.typereviewen_US
dc.contributor.departmentİstinye Üniversitesi, Eczacılık Fakültesi, Eczacılık Temel Bilimleri Bölümüen_US
dc.contributor.authorID0000-0003-3142-0596en_US
dc.contributor.institutionauthorNafisi, Sara
dc.identifier.volume126en_US
dc.relation.journalJournal of the Mechanical Behavior of Biomedical Materialsen_US
dc.relation.publicationcategoryDiğeren_US
dc.description.wospublicationidWOS:000731503500009en_US
dc.description.pubmedpublicationid34894500en_US
dc.description.wosqualityQ2en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record