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Master Thesis or Internship: Evaluation and comparison of meshing and FEM packages in multimodal 3D breast image registration

Master Thesis or Internship: Evaluation and comparison of meshing and FEM packages in multimodal 3D breast image registration
job offer: links:
institute:

Institute for Data Processing and Electronics (IPE)

starting date:

On appointment

closing date:

December 12, 2017

contact person:

Torsten Hopp,
Patricia Cotič Smole 

Evaluation and comparison of meshing and FEM packages in multimodal 3D breast image registration

Vergleiche MRI
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 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 extending the biomechanical model and simulation environ-ment. Alternative volume meshing methods and/or open source finite element solvers would be analyzed and evaluated in terms of their accuracy compared to the existing ones.


Task description (adaptable to desired time frame)

  •  Starting point of the work will be the analysis of the current state of the registration method and devel-opment of a workplan
  •  Literature research of available FEM solvers (e.g. FEBio or NiftySim) and/or meshing methods and tools (e.g. 3D Slicer); analysis of requirements of our image registration method.
  • Implementation of the biomechanical model for selected FEM solvers and/or implementation of an automated meshing method and its integration into the registration software.
  •   Evaluation of results with 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.

Contact
Torsten Hopp, torsten hoppPlt7∂kit edu
 Patricia Cotič Smole,  patricia smoleOqf7∂kit edu