A novel training-free method for real-time prediction of femoral strain

Ziaeipoor, Hamed; Taylor, Mark; Pandy, Marcus G.; Martelli, Saulo

doi:10.1016/j.jbiomech.2019.01.057

Cited by 18 publications

(15 citation statements)

References 36 publications

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“…Statistical methods have been developed for improving the anatomical fidelity in the model using the limited set of information typically available in a clinical environment [71,72]. Real-time or near real-time numerical methods have been developed to predict muscle and joint force [73], bone strains [74,75] and strength [76]. Technologies have been developed to constrain the problem of muscle coordination to available observations of muscle activity [77,78] and to reduce the bone position error in current motion capture technologies [79].…”

Section: A Perspective Toward Personalized Exercise Prescriptionmentioning

confidence: 99%

“…Similarly, bone anatomy and distribution can be obtained from calibrated CT images [10••, 22, 31] or extracted from population databases [76]. Access to high performance computing hardware, efficient new computational algorithms [74,75,80,81] and open-source population databases [71] have reduced Fig. 4 The hip load generated by contractions of the gluteus (gluteus medius and minimus) and of the hamstring muscles.…”

Section: A Perspective Toward Personalized Exercise Prescriptionmentioning

confidence: 99%

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Modelling Human Locomotion to Inform Exercise Prescription for Osteoporosis

Martelli

Beck

Saxby

et al. 2020

Curr Osteoporos Rep

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Purpose of Review We review the literature on hip fracture mechanics and models of hip strain during exercise to postulate the exercise regimen for best promoting hip strength. Recent Findings The superior neck is a common location for hip fracture and a relevant exercise target for osteoporosis. Current modelling studies showed that fast walking and stair ambulation, but not necessarily running, optimally load the femoral neck and therefore theoretically would mitigate the natural age-related bone decline, being easily integrated into routine daily activity. High intensity jumps and hopping have been shown to promote anabolic response by inducing high strain in the superior anterior neck. Multidirectional exercises may cause beneficial non-habitual strain patterns across the entire femoral neck. Resistance knee flexion and hip extension exercises can induce high strain in the superior neck when performed using maximal resistance loadings in the average population. Summary Exercise can stimulate an anabolic response of the femoral neck either by causing higher than normal bone strain over the entire hip region or by causing bending of the neck and localized strain in the superior cortex. Digital technologies have enabled studying interdependences between anatomy, bone distribution, exercise, strain and metabolism and may soon enable personalized prescription of exercise for optimal hip strength.

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Section: A Perspective Toward Personalized Exercise Prescriptionmentioning

confidence: 99%

Section: A Perspective Toward Personalized Exercise Prescriptionmentioning

confidence: 99%

Modelling Human Locomotion to Inform Exercise Prescription for Osteoporosis

Martelli

Beck

Saxby

et al. 2020

Curr Osteoporos Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…These processes are tedious and time-consuming, which may increase the risk of subjective bias and diminish the validity of the result, especially in the large sample test. For certain cases, researchers prefer constructing the separate FE model of the femur (or proximal femur) to perform related mechanical analysis to improve the efficiency of FEA, which can be considered as a feasible alternative to simplify the FE model of the hip [19][20][21][22]. Different from the FE model of the pelvis and entire hip joint, the region of joint reaction force as well as the weight-bearing area in such separate model with standing position needs to be defined before stress loading.…”

Section: Discussionmentioning

confidence: 99%

Finite element modeling of proximal femur with quantifiable weight-bearing area in standing position

Yang

Lin

et al. 2020

J Orthop Surg Res

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Background: The positional distribution and size of the weight-bearing area of the femoral head in the standing position as well as the direct active surface of joint force can directly affect the result of finite element (FE) stress analysis. However, the division of this area was vague, imprecise, and un-individualized in most studies related to separate FE models of the femur. The purpose of this study was to quantify the positional distribution and size of the weight-bearing area of the femoral head in standing position by a set of simple methods, to realize individualized reconstruction of the proximal femur FE model. Methods: Five adult volunteers were recruited for an X-ray and CT examination in the same simulated bipedal standing position with a specialized patented device. We extracted these image data, calculated the 2D weightbearing area on the X-ray image, reconstructed the 3D model of the proximal femur based on CT data, and registered them to realize the 2D weight-bearing area to 3D transformation as the quantified weight-bearing surface. One of the 3D models of the proximal femur was randomly selected for finite element analysis (FEA), and we defined three different loading surfaces and compared their FEA results. Results: A total of 10 weight-bearing surfaces in 5 volunteers were constructed, and they were mainly distributed on the dome and anterolateral of the femoral head with a crescent shape, in the range of 1218.63-1, 871.06 mm 2. The results of FEA showed that stress magnitude and distribution in proximal femur FE models among three different loading conditions had significant differences, and the loading case with the quantized weightbearing area was more in accordance with the physical phenomenon of the hip. Conclusion: This study confirmed an effective FE modeling method of the proximal femur, which can quantify the weight-bearing area to define a more reasonable load surface setting without increasing the actual modeling difficulty.

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“…These processes are tedious and time-comsuming, which may increase the risk of subjective bias and diminish the validity of result, especially in the large sample test. For certain cases, researchers prefer constructing the separate FE model of femur (or proximal femur) to perform related mechanical analysis to improve the efficiency of FEA, which can be considered as a feasible alternative to simplify FE model of hip [15][16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Finite element modeling of proximal femur with quantifiable weight-bearing area in standing position

Yang

Lin

et al. 2020

Preprint

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BackgroundThe positional distribution and size of the weight-bearing area of femoral head in the standing position as well as the direct active surface of joint force can directly affect the result of finite element (FE) stress analysis, however in most studies related separate FE models of femur, the division of this area is vague, imprecise and un-individualized. The purpose of this study was to quantify the positional distribution and size of the weight-bearing area of femoral head in standing position by a set of simple methods, to realize individualized reconstruction of proximal femur FE model.MethodsFive adult volunteers were recruited for X-ray and CT examination in the same simulated bipedal standing position with a specialized patented device. We extracted these image data, calculated the 2D weight-bearing area on X-ray image, reconstructed the 3D model of proximal femur based on CT data, and registered them to realize the 2D weight-bearing area to 3D transformation as the quantified weight-bearing surface. One of the 3D models of proximal femur was randomly selected for finite element analysis (FEA), and we defined three different loading surfaces, and compared their FEA results.ResultsA total of 10 weight-bearing surfaces in 5 volunteers were constructed, they were mainly distributed on the dome and anterolateral of femoral head with crescent shape, in the range of 1,218.63mm2 - 1,871.06mm2. The results of FEA showed stress magnitude and distribution in proximal femur FE models among three different loading conditions were significant differences, the loading case with quantized weight-bearing area was more in accordance with the physical phenomenon of the hip.ConclusionThis study confirmed an effective FE modeling method of proximal femur, which can quantify weight-bearing area to define more reasonable load surface setting without increasing the actual modeling difficulty.

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A novel training-free method for real-time prediction of femoral strain

Cited by 18 publications

References 36 publications

Modelling Human Locomotion to Inform Exercise Prescription for Osteoporosis

Modelling Human Locomotion to Inform Exercise Prescription for Osteoporosis

Finite element modeling of proximal femur with quantifiable weight-bearing area in standing position

Finite element modeling of proximal femur with quantifiable weight-bearing area in standing position

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