Enhanced Medical Image Analysis: Leveraging 3D Visualization and VR-AR Technology

Enhanced Medical Image Analysis: Leveraging 3D Visualization and VR-AR Technology | 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 Enhanced Medical Image Analysis: Leveraging 3D Visualization and VR-AR Technology Navaneeth Prabha, Navya Prasad, Naeema Ziyad, Jisha P Abraham, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4219592/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 Modern healthcare depends heavily on medical imaging, but traditional 2D images frequently lack depth and detail. This paper introduces a novel approach, that turns 2D medical images, such as X-rays, MRIs, and CT scans, into immersive three-dimensional visualizations by utilizing virtual and augmented reality (VR/AR) technology. The process consists of four steps: acquiring DICOM medical data, converting the data into 3D models, applying the rendering modes and slicing planes, and deploying the data in VR/AR environments. Preprocessing methods evaluate and improve the quality of medical image data, which is essential for precise analysis and is guided by mathematical formulas. Advanced techniques like alpha shapes and Delaunay triangulation are used to transform 2D medical images into realistic 3D models. Mesh fidelity and clarity are optimized by surface reconstruction techniques, which are motivated by mathematical representations. The surface mesh is refined using Laplacian smoothing and surface subdivision algorithms, which guarantee geometric accuracy and visual quality. Furthermore, Hausdorff distance is used to evaluate the generated 3D models' accuracy, guaranteeing fidelity and dependability in medical visualization. This technology offers the potential to improve surgical planning accuracy, streamline medical education, and foster deeper understanding by facilitating interactive exploration of intricate anatomical structures. Medical Imaging Rendering Modes Slicing Planes 3D Models Surface Reconstruction Virtual Reality Augmented Reality Full Text Additional Declarations No competing interests reported. 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-4219592","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":289139554,"identity":"acce1bd0-bb6c-493c-aebd-d1ab81322297","order_by":0,"name":"Navaneeth Prabha","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxklEQVRIiWNgGAWjYJAC5j88NnIgxoEHROvhkUkzBmtJIF6LzeHEBhCDKC3mErmHP0jkMKfPDzv8EGiLnZxuAwEtljPy0iQMzrDlbrydZgDUkmxsdoCAFoMzZ8wYEnt4cjfOTgBpOZC4jQgtxh8O/pNIN5yd/oFILcd7DCQbeAwS5KVziLXleF+aNANPguEG6ZyCAwkGxPjlMO/hzww8/+XlZ6dv/vChwk6OoBZgpED1glUaEFSOpEW+gSjVo2AUjIJRMBIBADDBRRZmDjm+AAAAAElFTkSuQmCC","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":true,"prefix":"","firstName":"Navaneeth","middleName":"","lastName":"Prabha","suffix":""},{"id":289139555,"identity":"27240a05-5e7a-4775-8ff7-0bf8754a3b91","order_by":1,"name":"Navya Prasad","email":"","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Navya","middleName":"","lastName":"Prasad","suffix":""},{"id":289139556,"identity":"c332b3ac-6daf-4537-82ab-e4fd8ee69b18","order_by":2,"name":"Naeema Ziyad","email":"","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Naeema","middleName":"","lastName":"Ziyad","suffix":""},{"id":289139557,"identity":"05eb7e8f-b275-497d-a1aa-77d570bb0b85","order_by":3,"name":"Jisha P Abraham","email":"","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Jisha","middleName":"P","lastName":"Abraham","suffix":""},{"id":289139558,"identity":"2f2a1825-bd6d-43b6-a310-bea770404552","order_by":4,"name":"Pristy Paul T","email":"","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Pristy","middleName":"Paul","lastName":"T","suffix":""},{"id":289139559,"identity":"7706c6a2-c40f-4b5a-b00d-133584c4e86e","order_by":5,"name":"Rini T Paul","email":"","orcid":"","institution":"Mar Athanasius College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Rini","middleName":"T","lastName":"Paul","suffix":""}],"badges":[],"createdAt":"2024-04-04 19:44:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4219592/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4219592/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":55554669,"identity":"13249aca-f609-46d1-a8d2-f4fb4b8ccc2c","added_by":"auto","created_at":"2024-04-29 23:48:08","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":351601,"visible":true,"origin":"","legend":"","description":"","filename":"EnhancedMedicalAnalysis.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4219592/v1_covered_a5e2f477-a169-47e8-aba6-6f79fcb68031.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Enhanced Medical Image Analysis: Leveraging 3D Visualization and VR-AR Technology","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":"Medical Imaging, Rendering Modes, Slicing Planes, 3D Models, Surface Reconstruction, Virtual Reality, Augmented Reality","lastPublishedDoi":"10.21203/rs.3.rs-4219592/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4219592/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Modern healthcare depends heavily on medical imaging, but traditional 2D images frequently lack depth and detail. 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