A Hybrid Multi-Criteria Decision Making Approach for Material Selection in Biomedical Ultrasound Imaging Experiments. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Hybrid Multi-Criteria Decision Making Approach for Material Selection in Biomedical Ultrasound Imaging Experiments. Amita Sahu, Niraj Sinha This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4962212/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In this paper, we present a multi-criteria prioritization of tissue-mimicking materials for ultrasound elastography imaging experiments. A decision matrix with target-based criteria and interval data has been formed to rank the nine most suitable materials for the application based on nine target-based decision criteria. Criteria weights are calculated using the best-worst method (BWM), the entropy weight method, and the correlation of criteria weights. The existing Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is not suitable for the multi-criteria decision making (MCDM) problems in biomedical applications where target-based criteria and uncertain data are involved. Therefore, to use the TOPSIS method for such problems, the method has been modified and named the Interval data and Target criteria based TOPSIS (IT-TOPSIS) method. This IT-TOPSIS method and an extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method are then used to rank the materials. The study found that polyvinyl alcohol (PVA) is the best-suited soft tissue-mimicking material for ultrasound elastography imaging experiments, followed by gelatine and polyethylene glycol diacrylate (PEGDA). Biomedical Engineering Applied Statistics Mechanical Engineering Materials Engineering Multi-criteria decision making Ultrasound elastography Tissue mimicking materials Material selection. Full Text Additional Declarations The authors declare no competing interests. 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