medical image processing and finite element analysis l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Medical image processing and finite element analysis PowerPoint Presentation
Download Presentation
Medical image processing and finite element analysis

Loading in 2 Seconds...

play fullscreen
1 / 28

Medical image processing and finite element analysis - PowerPoint PPT Presentation


  • 170 Views
  • Uploaded on

Medical image processing and finite element analysis. András Hajdu UNIVERSITY OF DEBRECEN HUNGARY. SSIP 2003 July 3-12 , 2003 Timişoara, Romania. MEDIP Platform independent software system for medical image processing.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Medical image processing and finite element analysis' - ulf


Download Now An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
medical image processing and finite element analysis
Medical image processing and finite element analysis

András Hajdu

UNIVERSITY OF DEBRECEN

HUNGARY

SSIP 2003

July 3-12, 2003

Timişoara, Romania

medip platform independent software system for medical image processing
MEDIPPlatformindependent software system for medical imageprocessing

The aim of the project is to develop an informatical background to theoretical and applied studies in the field of multi-modal medical image processing,which results may lead to

marketable products.

medip platform independent software system for medical image processing3

Developers

Test partners

  • Department of Information Technology,University of Debrecen
  • PET Center,

University of Debrecen

  • Mediso Medical Imaging System Ltd.
  • Department of Orthopedic Surgery,University of Debrecen
  • Faculty of Health Sciences, Chair of Radiotherapy,Semmelweis University
  • Faculty of Medicine Dept. of Radiology and Oncotherapy,Semmelweis University
MEDIPPlatformindependent software system for medical imageprocessing
medip platform independent software system for medical image processing4
MEDIPPlatformindependent software system for medical imageprocessing

01.2003

01.2002

01.2004

  • Survey, problem specification
  • Modelling, system plans
  • Implementation
  • Implementation,optimisation
  • Fine tuning,testing, presentation

Pert diagram

Dependence

finished sessions

current session

Ses1

Ses2

Ses3

Ses4

Ses5

future sessions

Feedback

medip demostration programs platform independent software system for medical image processing
MEDIP – Demostration programsPlatformindependent software system for medical imageprocessing

Finite element modelling

for virtual surgery

Selection of volume of interest based on image fusion

4D visualization of gated heart and lung inspections

slide6

Demonstration program

Finite element modelingfor virtual surgery

Dept. of Information Tech., UD

Dept. of Orthopaedy, UD

slide7

Demonstration program

Finite element modelingfor virtual surgery

Connecting to the base libraries

  • File I/O (DICOM)
  • Segmentation techniques
  • Contour tracking, ROI selection
  • Morphological operations
  • Complex GUI
  • ROI and VOI 2D/3D visualization
  • 3D geometric navigation
  • Printing
slide8

Demonstration program

FEM surgery planning frame program

Login (database opening)

Launching (opening new/existing profile)

DICOM file import

Image manipulation (morphological filtering)

Segmentation (automatic/manual)

Creating geometric model

slide9

Demonstration program

Surgery planning (virtual osteotomy)

Adjusting parameters

FEM contact

3D visualization, selecting VOI

slide10

Surgery planning (virtual osteotomy)Case study

ANALYZIS OF A NEW FEMUR LEGTHENING SURGERY

Zoltán Csernátony, Department of Orthopaedics, UD

Szabolcs Molnár, Department of Orthopaedics, UD

Sándor Manó, College Faculty of Engineering, UD

AndrásHajdu, Institute of Informatics, UD

ZoltánZörgő, Institute of Informatics, UD

lower extremity inequality
Lowerextremityinequality

Shorter femur

Shorter tibia

a new lengthening method
A new lengthening method

!

  • Torsion and angulation could also be correnced
past and present
Past and present
  • In the past there existed no way of testing new interventions but to try it out in vivo
  • This days technology makes is possible to test and adjust new operative interventions before even one cut is made
validating new ideas
Validating new ideas
  • Laboratory tests
  • Finite element analysis
how can we use fem fea
How can we use FEM/FEA?

CT slices

imageprocessing

geometricalreconstruction

building up a basic model
Importing images in CT firmware format (DICOM)

Image enhancement (sharpening, filtering)

Extracting ROIs

Building up a basic model
modeling intervention geometry i
Based on the path of the cutting tool

We need to determine:

Cutting thickness

Pitch

Ending hole parameters

Modeling intervention geometry (I.)
modeling intervention physics
The bone tissue should be modeled as a very complicated nonlinear anisotropic material

We are using linearelasticizotropicandorthotropicmaterial models instead

We mesh the model

One end is fixed, on the other end a traction force is applied

How big is the evolved stress? How much elongation can it support?

Modeling intervention physics
some results
Some results

There exists an optimal combination of parameter values

additional adjustments
Additional adjustments
  • The greatest stress values evolve near the ending holes.
  • The inward oriented conical bore appears to be the most suitable
checking the results
We have built a schematic model

It is a cylindrical pipe with inner and outer diameters equaling the femur’s average diameters

The same analysis were performed

Checking the results
  • The stress values measured on the pipe-model were 1.61 (D=0.27) times lower under same conditions
  • There was a 91% correlation between the two datasets
future plans
Future plans
  • More precise material modeling by using cylindrical layers, and other element types
  • In-vitro lab tests based on the results