Faculty of Informatics Vienna University of Technology Institute of Computer Aided Automation PRIP Home PRIP Home
Personal tools
You are here: Home Teaching PRIP-Talks Lukas Fischer: From 2D to 3D Robust Medical Image Detection and Segmentation using Shape Particle Filters
Navigation
 

Lukas Fischer: From 2D to 3D Robust Medical Image Detection and Segmentation using Shape Particle Filters

Abschlussvortrag Praktikum + Spezifikationsvortrag DA

What
  • Presentation
When May 26, 2009
from 05:00 pm to 05:30 pm
Where Sem 183/2
Add event to calendar vCal
iCal
In recent years segmentation approaches based on sequential Monte Carlo
Methods delivered promising results for the localization and delineation
of anatomical structures in medical images. Also known as Shape Particle
Filters, they were used for the segmentation of human vertebrae, lungs
and hearts, being especially well suited to cope with the high levels of
noise encountered in MR data and difficult overlaps in radiographs. This
talk surveys the robustness of 2D Shape Particle Filters on different
medical example images. A Differential Evolution approach on Shape
Particle Filtering is applied for image segmentation. Furthermore future
enhancements that will be implemented within the scope of the master
thesis like the adoption from 2D to 3D input images, the selection of
more problem specific optimal features and optimal feature extraction
regions for the later image classification, that in turn is used in the
Differential Evolution algorithm, are presented.
Document Actions