Estimation of Bone-Surface E-Fields in Virtual Anatomical Human Models

Semester and Master's Work at the IT'IS Foundation - Estimation of Bone-Surface E-Fields in Virtual Anatomical Human Models

incident efield

Clinical magnetic resonance imaging (MRI) has become a routine diagnostic method. However, the radiofrequency (RF) exposure induces very high electric (E-) fields, which can lead to excessive tissue heating. In the presence of metallic implants, the E-fields may become even more localized, which can result locally in internal burns. Orthopedic implants are typically located on the bone-surface. Thus, knowledge about the E-fields induced on the bone would be very beneficial for the assessment of the safety of such medical devices.

The aim of this project is to estimate the magnitude of the induced tangential bone-surface E-fields in a wide range of MRI patients and to develop, apply, and verify suitable averaging methods. Challenges may include the effective assessment of smaller and scattered bones.

The extracted field values will be used to characterize the safety of entire orthopedic implant-categories. Strong analytical thinking is needed for this position. Experience in Python programming is an advantage, as it will facilitate the effective usage of our simulation tools.

The extent of the project will be defined and finalized according to the interests and background of the student.

The workplace will be at the IT’IS Foundation in Zurich. The workflow will include:

      • familiarization with RF safety assessment of metallic implants
      • execute electromagnetic simulations with virtual anatomical human patients
      • assess and post-process the E-fields with appropriate averaging algorithms
      • verify the robustness of the chosen approach

Please contact Dr. Manuel Murbach for more information and further details.


Dr. Manuel Murbach

Type of Work:

Computational life sciences


Niels Kuster

Please send applications to Charlotte Roberts at