A noninvasive MRI based approach to estimate the mechanical properties of human knee ligaments

Hamid Naghibi (Corresponding Author), Valentina Mazzoli, Kaj Gijsbertse, Gerjon Hannink, Andre Sprengers, Dennis Janssen, Ton van den Boogaard, Nico Verdonschot

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Characterization of the main tibiofemoral ligaments is an essential step in developing patient-specific computational models of the knee joint for personalized surgery pre-planning. Tensile tests are commonly performed in-vitro to characterize the mechanical stiffness and rupture force of the knee ligaments which makes the technique unsuitable for in-vivo application. The time required for the limited noninvasive approaches for properties estimation based on knee laxity remained the main obstacle in clinical implementation. Magnetic resonance imaging (MRI) technique can be a platform to noninvasively assess the knee ligaments. In this study the aim was to explore the potential role of quantitative MRI and dimensional properties, in characterizing the mechanical properties of the main tibiofemoral ligaments. After MR scanning of six cadaveric legs, all 24 main tibiofemoral bone-ligaments-bone specimens were tested in vitro. During the tensile test cross sectional area of the specimens was captured using ultrasound and force-displacement curve was extracted. Digital image correlation technique was implemented to check the strain behavior of the specimen and rupture region and to assure the fixation of ligament bony block during the test. The volume of the specimen was measured using manual segmentation data, and quantitative MR parameters as T2*, T1ρ, and T2 were calculated. Linear mixed statistical models for repeated measures were used to examine the association of MRI parameters and dimensional measurements with the mechanical properties (stiffness and rupture force). The results shows that while the mechanical properties were mostly correlated to the volume, inclusion of the MR parameters increased the correlation strength for stiffness (R2 ≈ 0.48) and partial rupture force (R2 = 0.53). Inclusion of ligament type in the statistical analysis enhanced the correlation of mechanical properties with MR parameters and volume as for stiffness (R2 = 0.60) and partial rupture (R2 = 0.57). In conclusion, this study revealed the potentials in using quantitative MR parameters, T1ρ, T2 and T2*, combined with specimen volume to estimate the essential mechanical properties of all main tibiofemoral ligaments required for subject-specific computational modeling of human knee joint.
    Original languageEnglish
    Pages (from-to)43-51
    Number of pages9
    JournalJournal of the mechanical behavior of biomedical materials
    Volume93
    DOIs
    Publication statusPublished - May 2019

    Fingerprint

    Ligaments
    Magnetic resonance imaging
    Mechanical properties
    Stiffness
    Bone
    Surgery
    Statistical methods
    Ultrasonics
    Scanning
    Planning

    Keywords

    • UT-Hybrid-D
    • Quantitative MRI
    • Mechanical properties
    • Computational model
    • Non-invasive characterization
    • Knee ligaments

    Cite this

    @article{2e285d132a194a44888febe8574c72f8,
    title = "A noninvasive MRI based approach to estimate the mechanical properties of human knee ligaments",
    abstract = "Characterization of the main tibiofemoral ligaments is an essential step in developing patient-specific computational models of the knee joint for personalized surgery pre-planning. Tensile tests are commonly performed in-vitro to characterize the mechanical stiffness and rupture force of the knee ligaments which makes the technique unsuitable for in-vivo application. The time required for the limited noninvasive approaches for properties estimation based on knee laxity remained the main obstacle in clinical implementation. Magnetic resonance imaging (MRI) technique can be a platform to noninvasively assess the knee ligaments. In this study the aim was to explore the potential role of quantitative MRI and dimensional properties, in characterizing the mechanical properties of the main tibiofemoral ligaments. After MR scanning of six cadaveric legs, all 24 main tibiofemoral bone-ligaments-bone specimens were tested in vitro. During the tensile test cross sectional area of the specimens was captured using ultrasound and force-displacement curve was extracted. Digital image correlation technique was implemented to check the strain behavior of the specimen and rupture region and to assure the fixation of ligament bony block during the test. The volume of the specimen was measured using manual segmentation data, and quantitative MR parameters as T2*, T1ρ, and T2 were calculated. Linear mixed statistical models for repeated measures were used to examine the association of MRI parameters and dimensional measurements with the mechanical properties (stiffness and rupture force). The results shows that while the mechanical properties were mostly correlated to the volume, inclusion of the MR parameters increased the correlation strength for stiffness (R2 ≈ 0.48) and partial rupture force (R2 = 0.53). Inclusion of ligament type in the statistical analysis enhanced the correlation of mechanical properties with MR parameters and volume as for stiffness (R2 = 0.60) and partial rupture (R2 = 0.57). In conclusion, this study revealed the potentials in using quantitative MR parameters, T1ρ, T2 and T2*, combined with specimen volume to estimate the essential mechanical properties of all main tibiofemoral ligaments required for subject-specific computational modeling of human knee joint.",
    keywords = "UT-Hybrid-D, Quantitative MRI, Mechanical properties, Computational model, Non-invasive characterization, Knee ligaments",
    author = "Hamid Naghibi and Valentina Mazzoli and Kaj Gijsbertse and Gerjon Hannink and Andre Sprengers and Dennis Janssen and {van den Boogaard}, Ton and Nico Verdonschot",
    note = "Elsevier deal",
    year = "2019",
    month = "5",
    doi = "10.1016/j.jmbbm.2019.01.022",
    language = "English",
    volume = "93",
    pages = "43--51",
    journal = "Journal of the mechanical behavior of biomedical materials",
    issn = "1751-6161",
    publisher = "Elsevier",

    }

    A noninvasive MRI based approach to estimate the mechanical properties of human knee ligaments. / Naghibi, Hamid (Corresponding Author); Mazzoli, Valentina; Gijsbertse, Kaj; Hannink, Gerjon; Sprengers, Andre; Janssen, Dennis; van den Boogaard, Ton; Verdonschot, Nico.

    In: Journal of the mechanical behavior of biomedical materials, Vol. 93, 05.2019, p. 43-51.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - A noninvasive MRI based approach to estimate the mechanical properties of human knee ligaments

    AU - Naghibi, Hamid

    AU - Mazzoli, Valentina

    AU - Gijsbertse, Kaj

    AU - Hannink, Gerjon

    AU - Sprengers, Andre

    AU - Janssen, Dennis

    AU - van den Boogaard, Ton

    AU - Verdonschot, Nico

    N1 - Elsevier deal

    PY - 2019/5

    Y1 - 2019/5

    N2 - Characterization of the main tibiofemoral ligaments is an essential step in developing patient-specific computational models of the knee joint for personalized surgery pre-planning. Tensile tests are commonly performed in-vitro to characterize the mechanical stiffness and rupture force of the knee ligaments which makes the technique unsuitable for in-vivo application. The time required for the limited noninvasive approaches for properties estimation based on knee laxity remained the main obstacle in clinical implementation. Magnetic resonance imaging (MRI) technique can be a platform to noninvasively assess the knee ligaments. In this study the aim was to explore the potential role of quantitative MRI and dimensional properties, in characterizing the mechanical properties of the main tibiofemoral ligaments. After MR scanning of six cadaveric legs, all 24 main tibiofemoral bone-ligaments-bone specimens were tested in vitro. During the tensile test cross sectional area of the specimens was captured using ultrasound and force-displacement curve was extracted. Digital image correlation technique was implemented to check the strain behavior of the specimen and rupture region and to assure the fixation of ligament bony block during the test. The volume of the specimen was measured using manual segmentation data, and quantitative MR parameters as T2*, T1ρ, and T2 were calculated. Linear mixed statistical models for repeated measures were used to examine the association of MRI parameters and dimensional measurements with the mechanical properties (stiffness and rupture force). The results shows that while the mechanical properties were mostly correlated to the volume, inclusion of the MR parameters increased the correlation strength for stiffness (R2 ≈ 0.48) and partial rupture force (R2 = 0.53). Inclusion of ligament type in the statistical analysis enhanced the correlation of mechanical properties with MR parameters and volume as for stiffness (R2 = 0.60) and partial rupture (R2 = 0.57). In conclusion, this study revealed the potentials in using quantitative MR parameters, T1ρ, T2 and T2*, combined with specimen volume to estimate the essential mechanical properties of all main tibiofemoral ligaments required for subject-specific computational modeling of human knee joint.

    AB - Characterization of the main tibiofemoral ligaments is an essential step in developing patient-specific computational models of the knee joint for personalized surgery pre-planning. Tensile tests are commonly performed in-vitro to characterize the mechanical stiffness and rupture force of the knee ligaments which makes the technique unsuitable for in-vivo application. The time required for the limited noninvasive approaches for properties estimation based on knee laxity remained the main obstacle in clinical implementation. Magnetic resonance imaging (MRI) technique can be a platform to noninvasively assess the knee ligaments. In this study the aim was to explore the potential role of quantitative MRI and dimensional properties, in characterizing the mechanical properties of the main tibiofemoral ligaments. After MR scanning of six cadaveric legs, all 24 main tibiofemoral bone-ligaments-bone specimens were tested in vitro. During the tensile test cross sectional area of the specimens was captured using ultrasound and force-displacement curve was extracted. Digital image correlation technique was implemented to check the strain behavior of the specimen and rupture region and to assure the fixation of ligament bony block during the test. The volume of the specimen was measured using manual segmentation data, and quantitative MR parameters as T2*, T1ρ, and T2 were calculated. Linear mixed statistical models for repeated measures were used to examine the association of MRI parameters and dimensional measurements with the mechanical properties (stiffness and rupture force). The results shows that while the mechanical properties were mostly correlated to the volume, inclusion of the MR parameters increased the correlation strength for stiffness (R2 ≈ 0.48) and partial rupture force (R2 = 0.53). Inclusion of ligament type in the statistical analysis enhanced the correlation of mechanical properties with MR parameters and volume as for stiffness (R2 = 0.60) and partial rupture (R2 = 0.57). In conclusion, this study revealed the potentials in using quantitative MR parameters, T1ρ, T2 and T2*, combined with specimen volume to estimate the essential mechanical properties of all main tibiofemoral ligaments required for subject-specific computational modeling of human knee joint.

    KW - UT-Hybrid-D

    KW - Quantitative MRI

    KW - Mechanical properties

    KW - Computational model

    KW - Non-invasive characterization

    KW - Knee ligaments

    UR - http://www.scopus.com/inward/record.url?scp=85061321346&partnerID=8YFLogxK

    U2 - 10.1016/j.jmbbm.2019.01.022

    DO - 10.1016/j.jmbbm.2019.01.022

    M3 - Article

    C2 - 30769233

    VL - 93

    SP - 43

    EP - 51

    JO - Journal of the mechanical behavior of biomedical materials

    JF - Journal of the mechanical behavior of biomedical materials

    SN - 1751-6161

    ER -