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Elastic Compression

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(1)

Biomechanical Modelling of the Human Leg under

Elastic Compression

Prof. Stéphane AVRIL

(2)

Principles of venous circulation in the leg

Venous return

& gravity From

the heart

To

the

heart

(3)

Dysfunction and treatment by elastic compression

∆𝑃 = 𝑃 𝑖𝑛𝑠𝑖𝑑𝑒 − 𝑃 𝑜𝑢𝑡𝑠𝑖𝑑𝑒

↗ 𝑃 𝑜𝑢𝑡𝑠𝑖𝑑𝑒 ⇒ ↘ ∆𝑃

(4)

Patient and pathology 1

1

[Vicaretti, 2010];

2

[Mosti, 2010];

3

[Blair, 1988];

4

[HAS, 2010];

5

[Dissemond, 2016];

6

[Partsch, 2006];

Resting pressure ≠ Working pressure 5

Impact of patient specificity on the treatment outcome 6 The highest the patient

can tolerate ? 4

20 40 60 [mmHg]

improvement of venous pumping 2

Ulcers 3

(5)

Objectives

How interface pressure is distributed over the leg ?

How this pressure is transmitted through soft tissues to the vessels ?

How the pressure applied to the veins can

enhance venous return ?

(6)

Objectives

How interface pressure is distributed over the leg ?

How this pressure is transmitted through soft tissues to the vessels ?

How the pressure applied to the veins can

enhance venous return ?

(7)

How to assess interface pressure?

In vivo measurements Laplace’s Law

𝑃 = 𝑇 𝑟 𝐶

Numerical simulation

[Dai, 2007]

[Prestandard, 2001]

(8)

Model reconstruction by image segmentation

L. Dubuis, S. Avril, J. Debayle and P. Badel, CMBBE, vol 15, number 1, pages 3-11, 2012.

CT

(9)

The Laplace law

L. Dubuis, S. Avril, J. Debayle and P. Badel, CMBBE, vol 15, number 1, pages 3-11, 2012.

(10)

Finite Element approach

Strain Pressure

[mmHg]

Bandage stretch =1.3

Skin-to-bandage & Bandage-to-bandage friction interactions Design of Experiments: 9 simulations with varying parameters

𝐿𝑒𝑔 = ෍

𝑘=1 𝐾

𝛼 𝑘 𝜙 𝑘

Chassagne, F., Molimard, J., Convert, R., Giraux, P., & Badel, P. Annals of biomedical engineering, 44(10), 3096-3108., 2016,

(11)

Validation against experimental measurements

Linear elastic behavior of bandages Skin-to-bandage friction & leg

morphology

(12)

Objectives

How interface pressure is distributed over the leg ?

How this pressure is transmitted through soft tissues to the vessels ?

How the pressure applied to the veins can

enhance venous return ?

(13)

General approach of FE modeling

CT or MRI US

(14)

Inputs of the Finite-Element model

Supine – no EC Supine – with CE

Standing – No CE Standing – with CE

Traditional ultrasound imaging US elastography

Frauziols F, Badel P, … Avril, S. IEEE Transactions

on Biomedical Engineering, 62(4), 1011-1019,

2015.

(15)

Response of superficial veins

Géométrie de départ Tension faible Tension moyenne Tension élevée

Position allongée

Position debout

Résultat intermédiaire/Le calcul n’a pas convergé

Correspondance couleur-pression

Rohan, C. Y., Badel, P., Lun, B., Rastel, D., & Avril,

S. Journal of biomechanics, 46(3), 599-603, 2013

(16)

Simulation of the sclerotherapy treatment

Rohan, C. Y., Badel, P., Lun, B., Rastel, D., & Avril, S. Journal of biomechanics, 46(3), 599-603, 2013

(17)

Simulation strategy for deep veins

Contact between veins and muscle compartments

Response to elastic compression with muscle contraction

Response to elastic compression Simulation of the eg at rest Biomechanical model of the leg and

of the stocking

Segmentation

(18)

Response of deep veins predicted by FE models

∆𝑃 (mmHg)

Volume (ml)

(19)

Validation

Rohan, P. Y., Badel, P., Lun, B., Rastel, D., & Avril, S. Annals of biomedical engineering, 43(2), 314-324, 2015.

No con tractio n W ith con tractio n

Pressure distribution (kPa)

(20)

Objectives

How interface pressure is distributed over the leg ?

How this pressure is transmitted through soft tissues to the vessels ?

How the pressure applied to the veins can

enhance venous return ?

(21)

Simplified model of the calf hemodynamics

Keijsers et al. International journal for numerical methods in biomedical engineering, 31(7), e02714, 2015.

(22)

1D finite volume model of the calf

hemodynamics including venous return

Keijsers et al. International journal for numerical methods in biomedical engineering, 31(7), e02714, 2015.

(23)

Prediction of alterations in the venous return

Keijsers et al. International journal for numerical methods in biomedical engineering, 31(7), e02714, 2015.

(24)

Prediction of risk of thrombosis

Downie et al. American Journal of Physiology-Heart and Circulatory Physiology, 294(5), H2112-H2120, 2008

(25)

Summary

Digital twin of the human leg under elastic compression.

Pressure and deformations correctly predicted.

Circulatory and biological effects are still

challenging.

(26)

Acknowledgements

Funding:

ERC-2014-CoG BIOLOCHANICS

Pierre-Yves Rohan

Laura Dubuis

Jean-François Pouget

Serge Couzan

Pierre Badel

Bertrand Lun

Fanny Frauziols

Jérôme Molimard

Fanette Chassagne

Reynald Convert

Pascal Giraux

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