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DTSTAMP:20210916T132448Z
LOCATION:Henry Dunant
DTSTART;TZID=Europe/Stockholm:20210705T170000
DTEND;TZID=Europe/Stockholm:20210705T173000
UID:submissions.pasc-conference.org_PASC21_sess121_msa313@linklings.com
SUMMARY:A Low Dimensional Surrogate Model of High-Fidelity Simulations of 
 Intra-Arterial Thrombectomy
DESCRIPTION:Minisymposium\n\nA Low Dimensional Surrogate Model of High-Fid
 elity Simulations of Intra-Arterial Thrombectomy\n\nBridio, Rodriguez Mata
 s\n\nThe technique of surrogate modelling consists in reproducing the beha
 vior of a physical system by finding a mapping between a set of input and 
 output data produced by the system. In this work, the surrogate modelling 
 technique was applied to reproduce the behavior of high-fidelity simulatio
 ns of the clinical procedure of intra-arterial thrombectomy (IAT), the tre
 atment to acute ischemic stroke (AIS), a pathology where a blood clot, or 
 thrombus, obstructs a cerebral artery preventing the perfusion of cerebral
  tissues. IAT consists in mechanically removing the thrombus by means of a
  stent-retriever positioned at the occlusion site through a micro-catheter
 . The IAT procedure fails if the thrombus escapes from the stent inside th
 e vessel or if the stress and strain state in the thrombus causes its frag
 mentation, leading to embolization. High-fidelity simulations of IAT proce
 dures allow to predict the outcome and to evaluate the stress and strain s
 tate of the thrombus, but they are computationally demanding. The aim of t
 his work is to develop a surrogate model of high-fidelity in-silico IAT ab
 le to predict the evolution of strain in the thrombus during the procedure
 \n\nDomain: CS and Math, Chemistry and Materials, Physics, Life Sciences, 
 Engineering
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