IPE 09-20 Internship or Masterthesis: Development and evaluation of automated segmentation methods in multi-modal 3D breast image registration
Institute for Data Processing and Electronics (IPE)
Breast cancer is the most common cancer in women worldwide: more than 1.6 Mio. cancers are diagnosed per year according to WHO cancer statistics. At Karlsruhe Institute of Technology an automated method for multi-modal image registration is developed. The registration allows localizing suspicious tissue structures in all modalities at a glance. Using this approach the advantages of modalities may be combined. Our method therefore contributes to multimodal diagnosis of breast cancer. The challenges for the image registration are the severe differences in image acquisition of different modalities such as patient positioning and compression state of the breast during examination. In order to overcome these challenges we apply sophisticated patient-specific biomechanical models of the breast to simulate the tissue deformation when subjected to compression.
The aim of this work is to contribute to the development of an automated workflow for the proposed patient-specific image registration method by means of developing fundamental algorithms for image processing and segmentation of the breast. The current image segmentation methods should be analyzed in terms of robustness and extended if necessary. Furthermore, the influence of material parameters and different model complexities should be evaluated by selected clinical datasets.
Task description (topics will be adapted to desired time frame)
Starting point of the work will be the analysis of the current state of the registration method and development of a work-plan.
Implementation of image segmentation methods for breast MRI into the existing image registration workflow and their evaluation by selected clinical datasets.
as soon as possible
- Programming skills in MATLAB required.
- Interest in medical imaging and medical image processing, in particular image segmentation and image registration
limited regarding study regulations
Contact person in line-management
For further information, please contact:
Torsten Hopp, firstname.lastname@example.org, Phone: +49 721 / 608 25990
Nicole Ruiter, Nicole.email@example.com, Phone: +49 721/ 608 25668
Please apply online using the button below for this vacancy number IPE 09-20.
Ausschreibungsnummer: IPE 09-20
If qualified, severely disabled persons will be preferred.
Personnel Support is provided by:
Phone: +49 721 608-25184,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany