Journal article 442 views
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
Journal of the Mechanical Behavior of Biomedical Materials, Volume: 137, Start page: 105577
Swansea University Author: Sanjay Pant
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DOI (Published version): 10.1016/j.jmbbm.2022.105577
Abstract
BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, d...
Published in: | Journal of the Mechanical Behavior of Biomedical Materials |
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ISSN: | 1751-6161 |
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Elsevier BV
2023
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This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results– The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke.</abstract><type>Journal Article</type><journal>Journal of the Mechanical Behavior of Biomedical Materials</journal><volume>137</volume><journalNumber/><paginationStart>105577</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1751-6161</issnPrint><issnElectronic/><keywords>Acute ischemic stroke, Thrombectomy, Surrogate modeling, Principal components analysis, Kriging, Finite element method</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-01-01</publishedDate><doi>10.1016/j.jmbbm.2022.105577</doi><url/><notes/><college>COLLEGE NANME</college><department>Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MECH</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 777072 and from the MIUR FISR-FISR2019_03221 CECOMES.</funders><projectreference/><lastEdited>2022-11-23T17:05:20.5764801</lastEdited><Created>2022-11-16T09:47:58.8077867</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>Sara</firstname><surname>Bridio</surname><orcid>0000-0002-1259-9730</orcid><order>1</order></author><author><firstname>Giulia</firstname><surname>Luraghi</surname><orcid>0000-0002-0434-8544</orcid><order>2</order></author><author><firstname>Francesco</firstname><surname>Migliavacca</surname><orcid>0000-0003-4644-630x</orcid><order>3</order></author><author><firstname>Sanjay</firstname><surname>Pant</surname><orcid>0000-0002-2081-308X</orcid><order>4</order></author><author><firstname>Alberto</firstname><surname>García-González</surname><order>5</order></author><author><firstname>Jose F. 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2022-11-23T17:05:20.5764801 v2 61935 2022-11-16 A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure 43b388e955511a9d1b86b863c2018a9f 0000-0002-2081-308X Sanjay Pant Sanjay Pant true false 2022-11-16 MECH BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, difficult to remove. This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results– The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke. Journal Article Journal of the Mechanical Behavior of Biomedical Materials 137 105577 Elsevier BV 1751-6161 Acute ischemic stroke, Thrombectomy, Surrogate modeling, Principal components analysis, Kriging, Finite element method 1 1 2023 2023-01-01 10.1016/j.jmbbm.2022.105577 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 777072 and from the MIUR FISR-FISR2019_03221 CECOMES. 2022-11-23T17:05:20.5764801 2022-11-16T09:47:58.8077867 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Sara Bridio 0000-0002-1259-9730 1 Giulia Luraghi 0000-0002-0434-8544 2 Francesco Migliavacca 0000-0003-4644-630x 3 Sanjay Pant 0000-0002-2081-308X 4 Alberto García-González 5 Jose F. Rodriguez Matas 0000-0001-7612-266x 6 Under embargo Under embargo 2022-11-23T17:03:17.1071305 Output 1955485 application/pdf Accepted Manuscript true 2023-11-16T00:00:00.0000000 ©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
spellingShingle |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure Sanjay Pant |
title_short |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
title_full |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
title_fullStr |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
title_full_unstemmed |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
title_sort |
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure |
author_id_str_mv |
43b388e955511a9d1b86b863c2018a9f |
author_id_fullname_str_mv |
43b388e955511a9d1b86b863c2018a9f_***_Sanjay Pant |
author |
Sanjay Pant |
author2 |
Sara Bridio Giulia Luraghi Francesco Migliavacca Sanjay Pant Alberto García-González Jose F. Rodriguez Matas |
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Journal article |
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Journal of the Mechanical Behavior of Biomedical Materials |
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137 |
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105577 |
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2023 |
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Swansea University |
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1751-6161 |
doi_str_mv |
10.1016/j.jmbbm.2022.105577 |
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Elsevier BV |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering |
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BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, difficult to remove. This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results– The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke. |
published_date |
2023-01-01T04:21:09Z |
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1763754397933764608 |
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11.013371 |