Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review
MRI-based biomechanical studies can provide a deep understanding of the mechanisms governing liver function, its mechanical performance but also liver diseases. In addition, comprehensive modeling of the liver can help improve liver disease treatment. Furthermore, such studies demonstrate the beginn...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-09-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.733393/full |
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| author | Seyed M. Seyedpour Seyed M. Seyedpour Mehdi Nabati Lena Lambers Lena Lambers Sara Nafisi Hans-Michael Tautenhahn Ingolf Sack Jürgen R. Reichenbach Jürgen R. Reichenbach Jürgen R. Reichenbach Tim Ricken Tim Ricken |
| author_facet | Seyed M. Seyedpour Seyed M. Seyedpour Mehdi Nabati Lena Lambers Lena Lambers Sara Nafisi Hans-Michael Tautenhahn Ingolf Sack Jürgen R. Reichenbach Jürgen R. Reichenbach Jürgen R. Reichenbach Tim Ricken Tim Ricken |
| author_sort | Seyed M. Seyedpour |
| collection | DOAJ |
| description | MRI-based biomechanical studies can provide a deep understanding of the mechanisms governing liver function, its mechanical performance but also liver diseases. In addition, comprehensive modeling of the liver can help improve liver disease treatment. Furthermore, such studies demonstrate the beginning of an engineering-level approach to how the liver disease affects material properties and liver function. Aimed at researchers in the field of MRI-based liver simulation, research articles pertinent to MRI-based liver modeling were identified, reviewed, and summarized systematically. Various MRI applications for liver biomechanics are highlighted, and the limitations of different viscoelastic models used in magnetic resonance elastography are addressed. The clinical application of the simulations and the diseases studied are also discussed. Based on the developed questionnaire, the papers' quality was assessed, and of the 46 reviewed papers, 32 papers were determined to be of high-quality. Due to the lack of the suitable material models for different liver diseases studied by magnetic resonance elastography, researchers may consider the effect of liver diseases on constitutive models. In the future, research groups may incorporate various aspects of machine learning (ML) 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. |
| first_indexed | 2024-12-18T01:06:23Z |
| format | Article |
| id | doaj.art-440c50bfac1848e095a5fa97585d07cf |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-18T01:06:23Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-440c50bfac1848e095a5fa97585d07cf2022-12-21T21:26:13ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-09-011210.3389/fphys.2021.733393733393Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic ReviewSeyed M. Seyedpour0Seyed M. Seyedpour1Mehdi Nabati2Lena Lambers3Lena Lambers4Sara Nafisi5Hans-Michael Tautenhahn6Ingolf Sack7Jürgen R. Reichenbach8Jürgen R. Reichenbach9Jürgen R. Reichenbach10Tim Ricken11Tim Ricken12Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyBiomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyDepartment of Mechanical Engineering, Faculty of Engineering, Boğaziçi University, Istanbul, TurkeyInstitute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyBiomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyFaculty of Pharmacy, Istinye University, Istanbul, TurkeyDepartment of General, Visceral and Vascular Surgery, Jena University Hospital, Jena, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Berlin, GermanyMedical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena, Jena, GermanyCenter of Medical Optics and Photonics, Friedrich Schiller University, Jena, GermanyMichael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University, Jena, GermanyInstitute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyBiomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, GermanyMRI-based biomechanical studies can provide a deep understanding of the mechanisms governing liver function, its mechanical performance but also liver diseases. In addition, comprehensive modeling of the liver can help improve liver disease treatment. Furthermore, such studies demonstrate the beginning of an engineering-level approach to how the liver disease affects material properties and liver function. Aimed at researchers in the field of MRI-based liver simulation, research articles pertinent to MRI-based liver modeling were identified, reviewed, and summarized systematically. Various MRI applications for liver biomechanics are highlighted, and the limitations of different viscoelastic models used in magnetic resonance elastography are addressed. The clinical application of the simulations and the diseases studied are also discussed. Based on the developed questionnaire, the papers' quality was assessed, and of the 46 reviewed papers, 32 papers were determined to be of high-quality. Due to the lack of the suitable material models for different liver diseases studied by magnetic resonance elastography, researchers may consider the effect of liver diseases on constitutive models. In the future, research groups may incorporate various aspects of machine learning (ML) 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.https://www.frontiersin.org/articles/10.3389/fphys.2021.733393/fullliverliver diseasebiomechanicsmagnetic resonance imaging (MRI)elastographyconstitutive model |
| spellingShingle | Seyed M. Seyedpour Seyed M. Seyedpour Mehdi Nabati Lena Lambers Lena Lambers Sara Nafisi Hans-Michael Tautenhahn Ingolf Sack Jürgen R. Reichenbach Jürgen R. Reichenbach Jürgen R. Reichenbach Tim Ricken Tim Ricken Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review Frontiers in Physiology liver liver disease biomechanics magnetic resonance imaging (MRI) elastography constitutive model |
| title | Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review |
| title_full | Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review |
| title_fullStr | Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review |
| title_full_unstemmed | Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review |
| title_short | Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review |
| title_sort | application of magnetic resonance imaging in liver biomechanics a systematic review |
| topic | liver liver disease biomechanics magnetic resonance imaging (MRI) elastography constitutive model |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2021.733393/full |
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