Publications by authors named "Aurelien Macron"
Article Synopsis
- - Internal soft tissue strains are a key factor in the development of Pressure Ulcers, but using Finite Element (FE) analysis in clinical settings is challenging due to high costs and long computation times.
- - This study aimed to validate a simpler local FE model of the gluteus region against a more complex 3D FE model, using 26 local FE models to assess patients in a sitting position.
- - The results showed a strong correlation between the two model types (R = 0.90, p-value < 0.01), suggesting that ultrasound technology could help integrate simpler FE models into everyday clinical practice for estimating Pressure Ulcer risks.
Article Synopsis
- Pressure ulcers remain a significant concern for individuals with limited mobility and sensory loss, despite advances in prevention strategies.
- Current methods for estimating internal mechanical conditions in soft tissues are limited by the need for expensive imaging technologies that often only study single individuals.
- This study proposes using low-dose biplanar X-ray, B-mode ultrasound, and optical scans to create personalized models of the buttock, revealing high variability in soft tissue responses and offering a tool for better assessing the risk of pressure ulcers.
Subject specific finite element mesh generation of the pelvis from biplanar x-ray images: application to 120 clinical cases.
Comput Methods Biomech Biomed Engin
April 2018
Article Synopsis
- Several Finite Element (FE) models of the pelvis are developed to assess pathologies and are used in clinical and industrial settings, but most rely on data from a single individual due to challenges in creating subject-specific meshes.
- Hexahedral meshes are preferred for their advantages, yet generating them remains difficult, even with improvements in creating tetrahedral meshes.
- This study introduces a method that uses elastic registration and quality corrections to quickly generate accurate hexahedral FE models of pelvises from a set of 120 3D reconstructions based on biplanar X-ray images.