info@biomedres.us   +1 (720) 414-3554   600 Third Avenue, 2nd floor, New York - 10016, USA
ISSN: 2574 -1241
Impact Factor 0.548

Mini ReviewOpen Access

Inverse Modelling and Medical Imaging Applied to Biomechanical Research

Volume 4 - Issue 3

Carlos Llopis-Albert*1 ; Francisco Rubio2 ; José M. Merigó 3,4; Francisco Valero 2

  • Author Information Open or Close
    • 1Departamento de Ingeniería Mecánica y de Materiales, Universitat Politècnica de València, Spain
    • 2Centro de Investigación en Ingeniería Mecánica, Universitat Politècnica de València, Spain
    • 3Department of Management Control and Information Systems, School of Economics and Business, University of Chile, Av. Diagonal Paraguay 257,8330015 Santiago, Chile
    • 4King Saud University, Riyadh, Saudi Arabia

    *Corresponding author:Departamento de Ingeniería Mecánica y de Materiales, Universitat Politècnica de València - Camino de Vera s/n, Spain, Email: cllopisa@upvnet.upv.es

Received: April 29, 2018;   Published: May 14,2018

DOI: 10.26717/BJSTR.2018.04.0001065

Full Text PDF

To view the Full Article   Peer-reviewed Article PDF

Abstract

The prediction of heterogeneous material properties in biomedical applications is becoming a major problem in cases with complex microstructures and multiphase materials. Several branches in medicine require accurate measurements, which can be achieved by means of medical imaging. They are non-destructive techniques to visualize the inside features of solid objects and for obtaining digital information on their three-dimensional geometries and properties. Therefore, for relating the observed measurements to unknown physical parameters, through medical imaging reconstruction, inverse modelling approaches are advisable.

keywords: Inverse Modelling; Medical Imaging; Biomechanics; Finite Element Method; Heterogeneity; Uncertainty

Abbreviation:CT: Computed Tomography; MR: Magnetic Resonance; DIC: Digital Image Correlation

Abstract| Introduction| Conclusion| References|