Development and Validation of Finite Element Analysis Model (FEM) of Craniovertebral Junction

Gupta, Deepak; Zubair, Mohd.; Lalwani, Sanjeev; Gamanagatti, S; Roy, Tara Sankar; Mukherjee, Sudipto; Kale, Shashank Sharad

doi:10.1097/brs.0000000000003491

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Based on the pose data, the range of motion, point of motion, and intervertebral motion can be estimated. The estimated data will be used to determine the stiffness of the CVJ and determine the suitable implant [28] for the CVJ region.…”

Section: Discussionmentioning

confidence: 99%

Vision-based pose estimation of craniocervical region: experimental setup and saw bone-based study

2021

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Summary This article discusses the intervertebral motion present in the craniovertebral junction (CVJ) region. The CVJ region is bounded by the first three vertebras from the spinal column. It helps in bringing most of the neck motion. Intervention in this region requires surgery in which an implant is placed to stabilize the whole system. The various available implants need to undergo performance evaluation as their performance varies from region and anatomical diversity. For the Indian population, we are targeting to evaluate the performance of such an implant, testing it into a cadaver. The region of interest will be loaded as per the loading condition of an average human. Motion in these regions is evaluated using the camera. A preliminary test was done on a saw bone model of CVJ to assess the performance of segmentation methods. Multiple such ArUco markers are used to increase pose accuracy further, and the pose of the entire board of multiple tags provides us with reliable pose estimation. The absolute error ranged from a minimum of 0.1 mm to a maximum of 16 mm. At the same time, the mean and median absolute errors were 3.8961 mm and 3.35 mm. By considering the absolute lengths, the percentage error showed the following trends. The percentage error was between 3.9168% and 0.0230%.

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Section: Discussionmentioning

confidence: 99%

Vision-based pose estimation of craniocervical region: experimental setup and saw bone-based study

2021

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“…Computational models can estimate internal stress and strain in the cervical spine, which usually cannot be performed experimentally, and cadaveric studies are commonly used for validating computational analyses. 48 However, these models are limited by the available moment-rotation data. 2 Our results contribute to improving the accuracy of computational studies under physiologic loading scenarios 49 owing to the provided corridors in the moment-rotation curves (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Intersegmental Kinematics of the Upper Cervical Spine

Lorente

Hidalgo-García

Rodríguez-Sanz

et al. 2021

Spine

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Study Design. Biomechanical study using cadaveric cervical spines. Objective. To evaluate joint mobility and stiffness at the craniovertebral junction. Summary of Background Data. Data on the intersegmental kinematics of the craniovertebral joints are available in the literature with a widespread range of values. The effect that alar ligament injuries have on intersegmental kinematics remains unclear and requires further biomechanical investigation. Methods. Ten occipito-atlanto-axial (C0-C1-C2) human specimens were articulated to flexion, extension, bilateral lateral bending, and bilateral axial rotation. The moment-rotation response was continuously tracked through the entire range of motion before and after unilateral alar ligament transection of the right side.Results. The intersegmental (C0-C1/C1-C2) moment-rotation response was continuously quantified in full flexion (7.2 AE 6.68/ 12.1 AE 5.88), extension (11.1 AE 6.48/3.0 AE 2.88), lateral bending to the right (3.1 AE 2.28/1.6 AE 1.28) and left sides (3.3 AE 1.68/ 2.1 AE 1.58), and axial rotation to the right (1.2 AE 3.58/32.3 AE 9.38) and left sides (2.7 AE 2.68/25.3 AE 8.38). Unilateral alar ligament transection increased the range of motion of C0-C2 in the three planes of movement; however, intersegmental motion alterations were not always observed. Conclusion. Increases in the range of extension and lateral bending at C0-C1, which had not been reported previously, were observed. Further, the range of rotation on the right and left sides increased, in conjunction with the increased ranges at C0-C1 and C1-C2.

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Effect of body weight on the L3 lumbar vertebra with lumbar spinal stenosis in different body-bending degrees: A finite element simulation

Chuchard¹,

Prathumwan²,

Chaiya³

et al. 2022

Results in Applied Mathematics

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Development and Validation of Finite Element Analysis Model (FEM) of Craniovertebral Junction

Cited by 4 publications

References 33 publications

Vision-based pose estimation of craniocervical region: experimental setup and saw bone-based study

Vision-based pose estimation of craniocervical region: experimental setup and saw bone-based study

Intersegmental Kinematics of the Upper Cervical Spine

Effect of body weight on the L3 lumbar vertebra with lumbar spinal stenosis in different body-bending degrees: A finite element simulation

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