Construct a Refined Monte Carlo Model for BNCT Dose Calculation and Assessment by Converting HU Value to Material Compositions for ROIs

Construct a Refined Monte Carlo Model for BNCT Dose Calculation and Assessment by Converting HU Value to Material Compositions for ROIs | 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 Article Construct a Refined Monte Carlo Model for BNCT Dose Calculation and Assessment by Converting HU Value to Material Compositions for ROIs Yi-Chiao Teng, Jiang Chen, Wan-Bing Zhong, Yuan-Hao Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4492683/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 The work of general Hounsfield unit (HU) value conversion material library has a prominent advantage in reflecting the multiplicity of tissue material compositions. For the sake of conquering the impact of limitations of imaging energy resolution and spatial resolution, while bearing in mind the accuracy and conservatism of BNCT dose calculation and assessment, a HU conversion material library for organs at risk (OAR) is established. The region of interest (ROI) is assigned to the OAR material library to build Monte Carlo model, which can be evolved into a homogeneous material with a single composition or a heterogeneous material with multiple compositions. A benchmark comparison of a coarse model with conventional fixed material library versus a refined model of HU-based converting approach coupled with an improved OAR-related ingrained material library within ROI was performed on practical glioma and head-and-neck tumor cases. Comparing the refined model with the coarse model showed that the minimum bioequivalent dose rate and physical absorbed dose rate of tumor differed by more than 3.6%, the health tissue maximum bioequivalent dose rate differed by 12.9%, and the maximum physical absorbed dose rate of the health tissue differed by 5.9%. Elemental compositions and mass densities influence the dose distribution. Delicately defined material compositions should be applied to ensure the trustworthiness of the calculated dose. Taking into account individual patient differences, improved material modeling strategies allow for simulations that are closer to the patient’s authentic physical condition, thereby more accurately assessing health tissue dose limit and tumor prescribed dose. Physical sciences/Physics/Applied physics Health sciences/Medical research/Experimental models of disease Health sciences/Oncology/Cancer Physical sciences/Physics/Nuclear physics Full Text Additional Declarations No competing interests reported. Supplementary Files refindheteromaterialAppendix.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4492683","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":312969160,"identity":"28eda5c5-afba-46c1-8a70-83747658beec","order_by":0,"name":"Yi-Chiao Teng","email":"","orcid":"","institution":"Neuboron Therapy System Ltd","correspondingAuthor":false,"prefix":"","firstName":"Yi-Chiao","middleName":"","lastName":"Teng","suffix":""},{"id":312969161,"identity":"9f1e57ff-04d4-47aa-bdea-c758144ec4d2","order_by":1,"name":"Jiang Chen","email":"","orcid":"","institution":"Neuboron Therapy System Ltd","correspondingAuthor":false,"prefix":"","firstName":"Jiang","middleName":"","lastName":"Chen","suffix":""},{"id":312969162,"identity":"3525d3ce-88ad-444d-b31b-0c2ce7ae6ebb","order_by":2,"name":"Wan-Bing Zhong","email":"","orcid":"","institution":"Neuboron Therapy System Ltd","correspondingAuthor":false,"prefix":"","firstName":"Wan-Bing","middleName":"","lastName":"Zhong","suffix":""},{"id":312969163,"identity":"548790bc-d83b-42ec-8559-bc38c62d9419","order_by":3,"name":"Yuan-Hao Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4klEQVRIiWNgGAWjYDACCeYGEAnEzAdADBkitDA2MBwAa2FLAHF5iNUCAjwGYJKgDoPbjQ3MH2osEvtn93x+daPGgoeB/fDRDXi13DkItOWYROKMO2e3WeccAzqMJy3tBl4tNxKBWtgkchtu5G4zzmEDapHgMSNCyz+J3Pk3cp4Z5/wjVsvBNoncDTdymB/nthGhRRKo5cDZPon6jTfSzJhz+yR42Aj5he9G8sEHFd/qjOVuJD/+nPOtTo6f/fAxvFoUDjBAowUYlxJgEp9yEJBvQLCZPxBSPQpGwSgYBSMTAABuyU83XpYw0wAAAABJRU5ErkJggg==","orcid":"","institution":"Neuboron Therapy System Ltd","correspondingAuthor":true,"prefix":"","firstName":"Yuan-Hao","middleName":"","lastName":"Liu","suffix":""}],"badges":[],"createdAt":"2024-05-28 18:22:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4492683/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4492683/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72137814,"identity":"f2f89a56-a6df-4c34-86f6-0c1aa5e78294","added_by":"auto","created_at":"2024-12-23 06:02:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":436434,"visible":true,"origin":"","legend":"","description":"","filename":"refindheteromaterial0602.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4492683/v1_covered_4cfc56ae-627b-4650-9324-6f507689031e.pdf"},{"id":58381605,"identity":"a25ec212-9d55-44ff-b625-29cba8c5f01c","added_by":"auto","created_at":"2024-06-14 17:13:48","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":27807,"visible":true,"origin":"","legend":"","description":"","filename":"refindheteromaterialAppendix.docx","url":"https://assets-eu.researchsquare.com/files/rs-4492683/v1/bada467218c77214fd3b82c0.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Construct a Refined Monte Carlo Model for BNCT Dose Calculation and Assessment by Converting HU Value to Material Compositions for ROIs","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4492683/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4492683/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe work of general Hounsfield unit (HU) value conversion material library has a prominent advantage in reflecting the multiplicity of tissue material compositions. 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