Prediction of muscle activation for an eye movement with finite element modeling

Karami, Abbas; Eghtesad, Mohammad; Haghpanah, Seyyed Arash

doi:10.1016/j.compbiomed.2017.08.018

Cited by 10 publications

(24 citation statements)

References 28 publications

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“…3a and 4a, respectively). The corresponding results show that orbital suspension tissues without EOMs played an important role in eye movement, and this finding is consistent with previous experimental results [19, 20, 24, 25]. In eye movement modeling, the action of orbital suspension tissues is simplified to a comprehensive effect, namely, a total resistance moment.…”

Section: Discussionsupporting

confidence: 89%

“…In previous studies, investigators studied the resistance and stiffness of orbital suspension tissues without excluding the effect of EOMs, possibly because of the complex anatomy and ethical limitations. The mechanical behavior of orbital suspension tissues without EOMs is absolutely necessary to establish an accurate eye movement model because modeling studies have shown that orbital suspension tissues play an indispensable role in supporting the eyeball and stabilizing the movement path of EOMs during eye movement [2, 19, 20]. Only a few works in the literature have reported on the differences in the resistance and stiffness of orbital suspension tissues, whether synthetically considering EOMs or not.…”

Section: Introductionmentioning

confidence: 99%

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In vivo experimental study on the resistance and stiffness of orbital suspension tissues with/without the extraocular muscles

et al. 2019

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Background The accuracy of the surgical amount of extraocular muscle (EOM) is key to the success of strabismus surgery. To establish an accurate eye movement model, it is of great theoretical value and clinical significance to determine the surgical amount of EOM. At present, only resistance and stiffness data of orbital suspension tissues with EOMs exist, while those of orbital suspension tissues without EOMs, which is critical information for eye movement modeling, have not been reported. The aim of this research is to study the resistance and stiffness of orbital suspension tissues with/without EOMs. Methods Fifteen healthy New Zealand white rabbits with body weights of 2.41 ± 0.13 kg were used in the study. Two recti (two horizontal recti of the left eye or two vertical recti of the right eye) or all EOMs were detached from each eye under general anesthesia. Then, a 5-0 silk suture was attached to the stump of the detached rectus insertion (two horizontal recti insertions of the left eye and two vertical recti insertions of the right eye) on the isolated eyeball. The 5-0 silk suture was connected to the INSTRON 5544 tester to facilitate the horizontal rotations of the left eyes and the vertical rotations of the right eyes, respectively. Results The resistance and stiffness of orbital suspension tissues with superior rectus, inferior rectus, superior oblique, and inferior oblique EOMs were obtained during horizontal eye movement. Similarly, the resistance and stiffness of orbital suspension tissues with lateral rectus, medial rectus, superior oblique, and inferior oblique EOMs were obtained during vertical eye movement. Then, the resistance and stiffness of orbital suspension tissues without EOMs were obtained during horizontal and vertical eye movements. The resistance and stiffness data of orbital suspension tissues with EOMs were compared with those of orbital suspension tissues without EOMs. The comparison results showed no significant difference in the resistance values between these two cases. In addition, the stiffness values of these two cases statistically differed. Conclusions The two horizontal recti play a major role in passive horizontal eye movement. In addition, when the eye is passively moved vertically, the two vertical recti play major roles. The stiffness of orbital suspension tissues with EOMs, which has been used in eye movement modeling, is not accurate. The results of this work may serve as a reference for improving the accuracy in eye movement modeling, and then it will be beneficial for determining the surgical amount of EOMs in clinical surgery.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

In vivo experimental study on the resistance and stiffness of orbital suspension tissues with/without the extraocular muscles

et al. 2019

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“…11 An alternative approach of finite element modeling (FEM) has been used on a limited basis to simulate small horizontal eye rotations based on a thermal expansion implementation of EOM contraction and relaxation, 12 but only one anatomically simplified model has up to this time sought to implement physiologically realistic EOM activation. 13 All of the forgoing lumped parameter and FE models of ocular motility have neglected the effect of the optic nerve (ON) altogether.…”

mentioning

confidence: 99%

Finite Element Model of Ocular Adduction by Active Extraocular Muscle Contraction

Jafari

Lü

Park

et al. 2021

Invest. Ophthalmol. Vis. Sci.

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“…In particular, a commercial FE solver was commonly used to evaluate the accuracy of a new FE algorithm [21,22,24,32]. However, using the FE method, real-time requirements are only satisfied if being modelled with a smaller number of elements [30,35] or being accelerated by GPU implementation [23,24]. In general, the computational cost of the FEM increases exponentially with the expansion of the number of nodes especially in case of simulation of the nonlinear materials.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review of Real-Time Medical Simulations with Soft-Tissue Deformation: Computational Approaches, Interaction Devices, System Architectures, and Clinical Validations

Nguyen

Tho

Dao

2020

Applied Bionics and Biomechanics

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Simulating deformations of soft tissues is a complex engineering task, and it is even more difficult when facing the constraint between computation speed and system accuracy. However, literature lacks of a holistic review of all necessary aspects (computational approaches, interaction devices, system architectures, and clinical validations) for developing an effective system of soft-tissue simulations. This paper summarizes and analyses recent achievements of resolving these issues to estimate general trends and weakness for future developments. A systematic review process was conducted using the PRISMA protocol with three reliable scientific search engines (ScienceDirect, PubMed, and IEEE). Fifty-five relevant papers were finally selected and included into the review process, and a quality assessment procedure was also performed on them. The computational approaches were categorized into mesh, meshfree, and hybrid approaches. The interaction devices concerned about combination between virtual surgical instruments and force-feedback devices, 3D scanners, biomechanical sensors, human interface devices, 3D viewers, and 2D/3D optical cameras. System architectures were analysed based on the concepts of system execution schemes and system frameworks. In particular, system execution schemes included distribution-based, multithread-based, and multimodel-based executions. System frameworks are grouped into the input and output interaction frameworks, the graphic interaction frameworks, the modelling frameworks, and the hybrid frameworks. Clinical validation procedures are ordered as three levels: geometrical validation, model behavior validation, and user acceptability/safety validation. The present review paper provides useful information to characterize how real-time medical simulation systems with soft-tissue deformations have been developed. By clearly analysing advantages and drawbacks in each system development aspect, this review can be used as a reference guideline for developing systems of soft-tissue simulations.

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Prediction of muscle activation for an eye movement with finite element modeling

Cited by 10 publications

References 28 publications

In vivo experimental study on the resistance and stiffness of orbital suspension tissues with/without the extraocular muscles

In vivo experimental study on the resistance and stiffness of orbital suspension tissues with/without the extraocular muscles

Finite Element Model of Ocular Adduction by Active Extraocular Muscle Contraction

A Systematic Review of Real-Time Medical Simulations with Soft-Tissue Deformation: Computational Approaches, Interaction Devices, System Architectures, and Clinical Validations

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