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Related Concept Videos

Plastic Deformations01:14

Plastic Deformations

It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
Plastic Deformations01:19

Plastic Deformations

Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their original...
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments. Initially, this...

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Related Experiment Video

Updated: Jun 9, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

A brain-deformation framework based on a linear elastic model and evaluation using clinical data.

Chenxi Zhang1, Manning Wang, Zhijian Song

  • 1Digital Medical Research Center, Shanghai Medical School, Fudan University, Shanghai, 200032, China. chenxizhang@fudan.edu.cn

IEEE Transactions on Bio-Medical Engineering
|September 1, 2010
PubMed
Summary
This summary is machine-generated.

This study presents a linear elastic model framework to correct brain shift during image-guided neurosurgery. The novel technique accurately predicts and corrects brain deformation, improving surgical accuracy in under five minutes.

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Related Experiment Videos

Last Updated: Jun 9, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomechanical Engineering

Background:

  • Brain tissue displacement, or brain shift, is a significant source of error in image-guided neurosurgery.
  • Accurate intraoperative navigation is crucial for effective brain tumor treatment.

Purpose of the Study:

  • To implement and evaluate a linear-elastic-model-based framework for correcting brain shift during neurosurgical procedures.
  • To assess the framework's accuracy and efficiency using clinical data from brain tumor patients.

Main Methods:

  • A linear elastic model was developed to simulate brain shift behavior.
  • Cortical surface deformations were tracked using a surface-tracking algorithm and a laser-range scanner.
  • Framework performance was evaluated by measuring displacements of anatomical landmarks and tumor contours.

Main Results:

  • The framework accurately predicted tumor deformations, aligning well with intraoperative observations.
  • Average brain shift of 3.9 mm and tumor margin shift of 4.2 mm were corrected to 1.2 mm and 1.3 mm, respectively.
  • The entire correction process was completed in under 5 minutes.

Conclusions:

  • The implemented framework demonstrates a suitable capability for intraoperative brain deformation correction.
  • This technique holds promise for enhancing the precision and safety of image-guided neurosurgery.
  • Further clinical validation could establish this method as a standard tool in neurosurgical interventions.