Enabling Technologies for Advanced Soft Tissue Modeling

Abstract

Soft tissue properties represent a major and significant unknown in the domain of medical modeling and simulation. This program presents a 4-year research effort in defining tissue characteristics of three distinct organs (liver, spleen, and kidney) in vivo. Over the course of this program, we will use novel methods of tissue interrogation to characterize non-linear behavior during slow deformations, as would commonly be seen during surgical manipulations. We will then develop mathematical models that can be optimized to permit near real-time representations of organ behaviors, including the boundary characteristics of organs in situ. Year 3 has seen: the beginning of the motorization of our large deformation indenter; data showing that our perfusion system supports tissue so that in vitro tests closely approximate in vivo tests; indications that we can capture and distinguish properties of the organ capsule and parenchyma with our small and large indentation devices,; development of a hybrid large-deformation and 3-D ultrasound scanning technique; FEM implementing a variety of non-linear constitutive laws; an image-based system for studying "knife-edge" plane strain deformation of tissues; extended gel phantom work from year 2 including international collaborations; acquisition of external funding to extend the vocal tissue measurement work from year 2.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA435009

Entities

People

  • Steven L. Dawson

Organizations

  • Massachusetts General Hospital

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Engineering
  • Computational Science
  • Computer Simulations
  • Computers
  • Geometry
  • Health Services
  • Mathematical Models
  • Mechanical Engineering
  • Mechanical Properties
  • Mechanics
  • Medical Personnel
  • Modulus Of Elasticity
  • Students
  • Test Methods
  • Three Dimensional
  • Two Dimensional
  • Virtual Reality

Readers

  • Computational Fluid Dynamics (CFD)
  • Structural Dynamics.
  • Trauma Surgery or Emergency Medicine.