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Satellite eventsCALL FOR SATELLITE EVENTS (Sunday June 1 and Thursday June 5, 2025) We invite possible organizers of pre- and post-FIMH workshops, tutorials or challenges. Final deadline to submit the proposal: December 15, 2024. We would like these additional events to be initiated by direct clinical needs. Please, submit a letter of intent to FIMH2025@utsouthwestern.edu containing the following information: Organizing team: names + affiliation; workshop description (max. one page, including information whether the workshop is related to previous workshops at FIMH or another event); duration of workshop (2-hour session / half day / full day).
CURRENT LIST OF SATELLITE EVENTS (further details will be provided and the list updated)
Tutorial: Heart-PINNs - Using Physics-Informed Neural Networks to Characterize Cardiac Properties Organizers:
Description: PINNs are an increasingly popular deep learning framework that explicitly incorporates physical equations into the data learning process. PINNs approximate a solution to a given physical process which simultaneously agrees with the known data and conforms to the known equations and associated boundary/initial conditions. By incorporating mechanistic knowledge into their loss function, PINNs can learn from much smaller amounts of data than conventional neural networks (NNs). Moreover, they can be constructed to be consistent with the known physics laws, making them more trustworthy than conventional NNs. In the cardiovascular field, PINNs have been used for simulation of physiology and pathophysiology, inverse estimation of cardiovascular parameters, characterization of pathology and high-resolution analysis of cardiac signals and images. For this tutorial, we will build on the materials created for a tutorial on “PINNs for Medical Imaging” successfully presented at MICCAI 2024 by two of the applicants – see https://annien094.github.io/PINNs-tutorial-MICCAI-2024.
Workshop: Computational modeling of cardiac remodeling Organizers:
Description: Cardiac remodeling describes the heart’s adaptation to various bio-chemical, -mechanical, and electrophysiological stimuli. It is a crucial mechanism in heart disease or chronic pathological conditions, such as single-ventricle heart disease, myocardial infarction, or heart failure, ventricular volume-/pressure-overload (e.g., in valvular diseases) and thus a promising target for computational modeling. This workshop will combine perspectives from clinical practice, medical imaging, cardiac mechanobiology, and computational modeling to discuss model use cases, generation, and validation.
Gebauer AM, Pfaller MR, Szafron JM, Wall WA. Int J Numer Methods Biomed Eng (2024)
Workshop: Fluid Simulations of the Left Atrium Organizers:
Description: The workshop aims to foster collaboration, innovation, and knowledge exchange among researchers in the field of left atrial fluid simulations. It will serve as a platform to benchmark different modeling strategies, promote best practices in verification and validation (e.g., V&V40 guidelines), and jointly work toward improved simulation methods. Participants will have the opportunity to collaborate on common datasets, fostering a sense of community and driving advancements in the field. The event will feature discussions on the state-of-the-art in left atrial fluid dynamics, as well as a collaborative effort to produce a review paper. Virtual participation will be available to ensure broad engagement. Our focus is on compiling and sharing unique datasets that will be made publicly available to the research community. These datasets include: In vitro data (Experimental measurements from a 3D-printed left atrium phantom using Particle Image Velocimetry (PIV)). Patient-specific geometries and 4D flow MRI data (including cases before and after Left Atrial Appendage Occlusion (LAAO) and CT datasets with known thrombus presence.
Workshop and Live Case: Interventional Cardiovascular Magnetic Resonance (iCMR) Organizers:
Description: Interventional Cardiovascular Magentic Resonance (iCMR) offers a unique contribution to high fidelity phenotypic characterization of the cardiovascular system. The combination of invasive hemodynamic pressures, high definition geometry and physiological flow & motion analysis provides unique contribution to personalized biomechanical modeling. This workshop will feature a live case study to take the participants through the fundamentals of image acquisition and data acquisition. The participant will follow the patient journey with livestream from the clinical area. Lectures will include technical aspects of iCMR data acquisition, data processing and interpretation. Discussion will center around processing of multi-modality data including data synchronization, data assimilation into models (data-model coupling including data filtering by biophysical models and model-augmented data analysis). Data sharing strategies will be as well discussed.
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