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Hiwi job: Medical image registration of 3D breast tomosynthesis and MRI

Hiwi job: Medical image registration of 3D breast tomosynthesis and MRI
job offer: links:
institute:

Institute for Data Processing and Electronics (IPE)

starting date:

As soon as possible

contact person:

 Torsten HoppPatricia Cotič Smole

Medical image registration of 3D breast tomosynthesis and MRI

Foto 1_Hiwi
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 mo-dalities 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 challeng-es we apply sophisticated patient-specific biomechanical models of the breast to simulate the tissue deformation when subjected to compres-sion. Digital breast tomosynthesis (DBT) is an emerging technology which provides 3D information of the compressed breast anatomy. In a joint HEiKA research project (https://www.heika-research.de/) in collabora-tion with the Medical Faculty Mannheim of the University Heidelberg, we apply this new modality to gain a deeper knowledge of the complex breast deformation and increase the accuracy of image registration methods to a new clinically applicable level. The project develops a fundamental method for the registration of MRI and DBT in order to identify more precise deformation models in general and provide a tool for easier, faster and more intuitive multimodal diagnosis of MRI and Tomosynthesis. The tasks of the student assistant would be to support the development of fundamental algorithms for the proposed patient-specific image registration method.



Task description

  • Development and evaluation of automated image processing and segmentation of the breast.
  • Extension of biomechanical model and simulation environ- ment (evaluation of meshing methods and open source finite element solvers).
  • Optimization and development of appropriate evaluation methods for clinical datasets.

Qualifications
  • Programming skills in MATLAB required.
  • Interest in medical imaging and medical image processing, in particular image segmentation and image registration.
  • Basic knowledge in (bio-)mechanical simulations / Finite Element simulations beneficial.
  • Basic mathematics, statistics. Working hours According to prior agreement, up to 40 hours/month

 Contact
 Torsten Hopp, torsten hoppHds8∂kit edu
 Patricia Cotič Smole , patricia smoleQkz4∂kit edu