SHI: A Framework for Spatial Harmonic Imaging

SHI: A Framework for Spatial Harmonic Imaging | 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 SHI: A Framework for Spatial Harmonic Imaging Danays Kunka, Jorge Luis Beltran Diaz, Jan Korvink This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7053807/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 Despite the growing interest in multicontrast X-ray imaging, \textit{spatial harmonic imaging} remains limited by a lack of specialized computational resources. In this paper, we present \textit{SHI}, a high-performance software framework that covers the range from data acquisition to processing in spatial harmonic imaging experiments. \textit{SHI} is an open-source software package that facilitates the acquisition of precise measurement data and streamlines the workflow, ensuring that data can be efficiently organized, processed, and visualized, leading to high quality results. In addition, \textit{SHI} includes higher-order harmonic extraction. Preliminary results show that spatial harmonic imaging improves experimental robustness and retrieves refraction and scattering information, albeit with reduced resolution. However, using these lower-resolution images enables faster CT reconstruction with fewer projections, while preserving essential sample features and allowing a substantial reduction in exposure levels. This research focuses on the acquisition methodology and the subsequent data processing for contrast retrieval and multicontrast computed tomography. Biological sciences/Computational biology and bioinformatics/Image processing Biological sciences/Computational biology and bioinformatics/Computational platforms and environments Biological sciences/Computational biology and bioinformatics/Software spatial harmonic imaging software development multicontrast X-ray Full Text Additional Declarations There is NO Competing Interest. 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. 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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-7053807","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":485969674,"identity":"7da222d9-2cad-4c67-95a3-753ef8abc100","order_by":0,"name":"Danays Kunka","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5klEQVRIie3OMQrCMBTG8adCXaKuKRm8QiRQKvQyIsQluAiOIhQ6ibOLh3Bxjgh1qbg+0CN0EFwEHWzQwSnVTTD/JQTeDz4Al+sX08+HA3gAZ01fn09JZaEp/Y7UiIZy0tztNxdyB8GPSe8SZeEE6vGa2oifDfuskUDAT+mWKSyGkXRsJVwrzhpTiDgOpkydC0JVYCeHXNyKYYbEt9CQdl5CUAWMeMUwlCkDM4wSO/ExD7rLhAofpezOMuonRI5CG2kelMD8HnXmKAVe00mrVd+u0EZMVQJvS7yyc1Pl+smVy+Vy/W8P6VtHLDDiup0AAAAASUVORK5CYII=","orcid":"","institution":"Karlsruhe Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Danays","middleName":"","lastName":"Kunka","suffix":""},{"id":485969675,"identity":"245b7485-5d26-4380-b0a6-410172269ee6","order_by":1,"name":"Jorge Luis Beltran Diaz","email":"","orcid":"https://orcid.org/0000-0001-6657-5999","institution":"Karlsruhe Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jorge","middleName":"Luis Beltran","lastName":"Diaz","suffix":""},{"id":485969676,"identity":"dbc06270-cfef-4b35-b89b-e687ca858b1e","order_by":2,"name":"Jan Korvink","email":"","orcid":"https://orcid.org/0000-0003-4354-7295","institution":"Karlsruhe Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jan","middleName":"","lastName":"Korvink","suffix":""}],"badges":[],"createdAt":"2025-07-05 15:00:38","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7053807/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7053807/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86934437,"identity":"a7f8c819-1a47-4d5c-adea-6905068c5a6a","added_by":"auto","created_at":"2025-07-17 10:23:44","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":21256596,"visible":true,"origin":"","legend":"Article File","description":"","filename":"SHIAFrameworkforSpatialHarmonicImaging.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7053807/v1_covered_988b5406-6c54-4e93-8d88-8a2fb11ab1dd.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"SHI: A Framework for Spatial Harmonic Imaging","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"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":"spatial harmonic imaging, software development, multicontrast, X-ray","lastPublishedDoi":"10.21203/rs.3.rs-7053807/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7053807/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Despite the growing interest in multicontrast X-ray imaging, \\textit{spatial harmonic imaging} remains limited by a lack of specialized computational resources. 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