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).
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)
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:
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.