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DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 103
DTSTART;TZID=Europe/Stockholm:20260629T141000
DTEND;TZID=Europe/Stockholm:20260629T145000
UID:submissions.pasc-conference.org_PASC26_sess108_msaSC111@linklings.com
SUMMARY:Generating and exploiting virtual cardiac cohorts for multiphysics
  simulations from patient-specific data
DESCRIPTION:Martino Andrea Scarpolini, Francesco Fabbri, and Francesco Vio
 la (Gran Sasso Science Institute (GSSI))\n\nMultiphysics cardiac simulatio
 ns coupling fluid–structure interaction and electrophysiology can reproduc
 e complex cardiac dynamics, but most studies remain limited to single, oft
 en patient-specific anatomies. Incorporating population-level variability 
 is essential for robust modeling, uncertainty quantification, and in-silic
 o trials, which requires virtual cohorts of anatomically consistent cardia
 c geometries.\n\nConventional segmentation methods are inadequate for buil
 ding such cohorts due to acquisition- and operator-dependent limitations. 
 Although deep learning approaches alleviate some issues, resulting geometr
 ies often contain mesh defects and topological inconsistencies that are in
 compatible with multiphysics simulations, particularly those involving hem
 odynamics.\n\nWe propose a semi-automatic pipeline to generate simulation-
 ready cardiac meshes directly from patient-specific CT scans. The approach
  combines machine learning–based segmentation, principal component analysi
 s, and in-house geometric processing to produce watertight, high-quality m
 eshes suitable for multiphysics solvers. Applied to 60 cardiac CT scans, t
 he pipeline enables the construction of a statistical shape model to quant
 ify anatomical variability and generate virtual cardiac cohorts.\n\nThe re
 sulting geometries have been successfully used in multiphysics simulations
  of healthy hearts, demonstrating the potential of the framework for popul
 ation-based cardiac modeling and large-scale in-silico studies.\n\nDomain:
  Engineering, Life Sciences, Computational Methods and Applied Mathematics
 \n\nSession Chair: Dominik Obrist (University of Bern)\n\n
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