Workshop on Biophysics-based modeling and data assimilation in medical imaging

WIAS Berlin, August 30 - September 1, 2023

Scopes

In physics-based medical imaging such as elastography, data quality and information density are closely linked. Increasing spatial resolution, for example, requires longer acquisition times, which in turn can lead to inaccuracies arising from intrinsic organ motion. Data assimilation methods based on advanced mathematical models and efficient numerical solutions can support image acquisition and enhance the physical consistency and clinical relevance of imaging data. On the one hand, data assimilation can compensate for data sparsity and limited resolution. On the other hand, in conjunction with follow-up imaging examination, it can support long-term prediction.

The purpose of this interdisciplinary meeting is to bring together experts in forward and inverse mathematical modeling, computational biomechanics, medical imaging, multiscale methods, and reduced-order methods to discuss pressing challenges from the clinical perspective of medical imaging and share the latest advances in computational methods.

Organizers: Alfonso Caiazzo (WIAS), Daniel Peterseim (U Augsburg), Ingolf Sack (Charité Berlin), Karsten Tabelow (WIAS)

The event is financed by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy MATH+ The Berlin Mathematics Research Center and through project Computational Multiscale Methods for the Inverse Estimation of Effective Properties of Poroelastic Tissue (DFG CA-1159/1-4).

Topics

  • Multiscale and mixed-dimensional methods for PDEs
  • PDE-based and data-driven assimilation methods
  • Multiscale biomechanical modeling
  • Reduced-order modeling
  • Fast acquisition in magnetic resonance imaging
  • Advances in elastography
  • New techniques for image denoising, and
  • Applications of machine learning in the context of imaging, simulations, and data assimilation

Keynote speakers

Abstract submission

We welcome abstract submissions for contributed talks (15-20 minutes). The submission of contribution title and short abstract (up to one page) can be done via the registration form.
Deadline for abstract submission: June 15th, 2023. (all important dates)

Registration

  • Early bird registration fee (available until July 15th, 2023): 80€
  • Full registration fee (after July 15th, 2023): 100€.
  • Online attendance: 30€.
On-site registration might be possible, but it cannot be ensured.

The registration fee includes participation in the workshop dinner, refreshments during the coffee breaks, access to workshop material, and participation in the social program.

After you receive the confirmation of your registration via E-mail, payment of the participation fee needs to be made via bank transfer to the following account:

Important dates

  • January 23st, 2023: Online registration & submission open
  • June 15st, 2023: Deadline for abstract submission
  • June 30th, 2023: Notification of acceptance
  • July 15th, 2023:Deadline for early bird registration

Venue

The workshop will be hosted by the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in the main building located at Mohrenstrasse 39 (Metro station U2 Hausvogteiplatz). The keynote and the contribute talks are planned in person, attendance online will be possible on request.