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Application of computational modeling to improve cornea transplant surgery

  • Original Paper - Cross-Disciplinary Physics and Related Areas of Science and Technology
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Abstract

Cornea transplant involving applanation results in a deformation of the cornea. This deformation combined with a mismatch of dimensional and mechanical properties between donor and recipient corneas gives rise to tension on the transplanted cornea, astigmatism and vision difficulties. Therefore, accurate prediction of deformation of the incision plant during such operations is necessary to minimize complications. In this work, we employed a finite element simulation on a cornea with measured geometry and hyperelastic Mooney–Rivlin mechanical properties to analyze the intended incision plane’s change during corneal applanation. A simulation of the cornea transplant procedure assuming two different geometries to be the same was performed, and the transplanted cornea showed a 5.1% change in the exterior radius. When the proposed method was applied, no change in the radius after transplant was observed. Moreover, a precise matching of the incision plane can be selected for the corneas, and the corneal deformation after an IntraLase-Enabled Keratoplasty (ILEK) corneal transplant procedure is expected to be minimal.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) (NRF-2020R1A2C3010322 and NRF-2018M3A9D7079485).

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Author notes

  1. Jongho Joo and Bongjoon Kim contributed equally to this work

Authors and Affiliations

  1. Department of Biomedical Engineering, Seoul National University, 321, Convergence Research, 103, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea

    Jongho Joo

  2. Department of Biomedical Engineering, Korea University, 466 Hana Science Hall, 145 Anamro, Seongbukgu, Seoul, 02841, Republic of Korea

    Bongjoon Kim

  3. Department of Biomedical Engineering, Interdisciplinary Program in Precision Public Health, Korea University, 466 Hana Science Hall, 145 Anamro, Seongbukgu, Seoul, 02841, Republic of Korea

    Honggu Chun

Authors
  1. Jongho Joo
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  2. Bongjoon Kim
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  3. Honggu Chun
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Correspondence to Honggu Chun.

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Joo, J., Kim, B. & Chun, H. Application of computational modeling to improve cornea transplant surgery. J. Korean Phys. Soc. 79, 874–881 (2021). https://doi.org/10.1007/s40042-021-00279-9

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  • DOI: https://doi.org/10.1007/s40042-021-00279-9

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