AIMC Topic: Finite Element Analysis

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Development and model form assessment of an automatic subject-specific vertebra reconstruction method.

Computers in biology and medicine
BACKGROUND: Current spine models for analog bench models, surgical navigation and training platforms are conventionally based on 3D models from anatomical human body polygon database or from time-consuming manual-labelled data. This work proposed a w...

Kirigami-Inspired Programmable Soft Magnetoresponsive Actuators with Versatile Morphing Modes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Untethered soft magnetoresponsive actuators (SMRAs), which can realize rapid shape transformation, have attracted widespread attention for their strategic applications in exploration, transportation, and minimally invasive medicine. It remains a chal...

Automated irreversible electroporated region prediction using deep neural network, a preliminary study for treatment planning.

Electromagnetic biology and medicine
The primary purpose of cancer treatment with irreversible electroporation (IRE) is to maximize tumor damage and minimize surrounding healthy tissue damage. Finite element analysis is one of the popular ways to calculate electric field and cell kill p...

A minimally designed soft crawling robot for robust locomotion in unstructured pipes.

Bioinspiration & biomimetics
Soft robots have attracted increasing attention due to their excellent versatility and broad applications. In this article, we present a minimally designed soft crawling robot (SCR) capable of robust locomotion in unstructured pipes with various geom...

Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.

Computers in biology and medicine
Biomechanical simulation enables medical researchers to study complex mechano-biological conditions, although for soft tissue modeling, it may apply highly nonlinear multi-physics theories commonly implemented by expensive finite element (FE) solvers...

Compliant Mechanism-Based Sensor for Large Strain Measurements Employing Fiber Optics.

Sensors (Basel, Switzerland)
We propose a sensor design for measurement of large strains where direct application of a fiber optic strain gauge is impossible due to the stiffness mismatch between the optical fiber and the structure under test. The sensor design is based on a rho...

Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.

International journal for numerical methods in biomedical engineering
This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of ...

Methods for numerical simulation of knit based morphable structures: knitmorphs.

Scientific reports
Shape morphing behavior has applications in many fields such as soft robotics, actuators and sensors, solar cells, tight packaging, flexible electronics, and biomedicine. The most common approach to achieve shape morphing structures is through shape ...

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.

International journal of computer assisted radiology and surgery
PURPOSE: Orthognathic surgery requires an accurate surgical plan of how bony segments are moved and how the face passively responds to the bony movement. Currently, finite element method (FEM) is the standard for predicting facial deformation. Deep l...

A data-driven approach to characterizing nonlinear elastic behavior of soft materials.

Journal of the mechanical behavior of biomedical materials
The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element analysis (FEA) and machine learning (ML) techniques to build constitutive relationships from measured force and displacement data. Previous applications ...