• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Automatic registration of DCE-MRI prostate images for follow-up comparison
 
  • Details
  • Full
Options
2009
Conference Paper
Title

Automatic registration of DCE-MRI prostate images for follow-up comparison

Abstract
Analysis of contrast agent uptake using Dynamic Contrast Enhanced MRI (DCE-MRI) might help to distinguish between different tissue types and benign and malign tissue state. It can be applied to localize primary or recurrent prostate cancer. After therapeutic intervention, e.g. radiotherapy, potential recurrences need to be detected as early as possible. A follow-up examination and comparison of contrast agent dynamics in the prostate before and after radiotherapy can provide insight into tumor progression. This paper presents a workflow and a suitable software application which support follow-up analysis of DCE-MRI prostate images before and after radiotherapy. Its main focus lies on automatic rigid image registration to calculate a transformation between the follow-up image and the baseline image. A set of 16 registration results was rated independently by three radiologists. After registration two-dimensional ROIs defined on the baseline image can be transferred to the follow-up image using the determined transformation rule. The presented approach allows for evaluation of corresponding ROIs without altering the original DCE-MRI data of both data sets.
Author(s)
Straaten, D. van
Zamecnik, P.
Böhler, T.
Laue, H.
Wirtz, S.
Hahn, H.K.
Mainwork
World Congress on Medical Physics and Biomedical Engineering 2009. Vol.4: Image processing, biosignal processing, modelling and simulation, biomechanics. Part 2  
Conference
World Congress on Medical Physics and Biomedical Engineering 2009  
International Union for Physical and Engineering Sciences in Medicine (International Congress) 2009  
DOI
10.1007/978-3-642-03882-2-385
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024