Robust Dynamic SPECT Reconstruction with Scarce Angular and Limited Temporal Sampling

Robust Dynamic SPECT Reconstruction with Scarce Angular and Limited Temporal Sampling | 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 Robust Dynamic SPECT Reconstruction with Scarce Angular and Limited Temporal Sampling Yicheng Wu, Roy He, Qiaoqiao Ding, Xiaoqun Zhang, Chao Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8451652/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Reconstruction of dynamic single photon emission computed tomography (SPECT) images from a few angular projections is a challenging, ill-posed inverse problem. In addition, due to the high cost of image acquisition, previous works have mainly concentrated on restoring the dynamic images within a limited temporal sampling frequency, which raises the issue of low temporal resolution. In this paper, we propose a novel framework, Deep Spatial Prior with Continuous Temporal Representation (DSP-CTR), to reconstruct dynamic SPECT images with high resolution under scarce projection views and limited temporal sampling. Our method models SPECT image sequences by integrating a deep image prior for reconstructing the spatial structures and an implicit neural representation for learning time activity curves (TACs). Numerical experiments justify that the proposed method recovers high-quality image sequences from very few projection angles and time frames compared to the state-of-the-art methods. Dynamic SPECT image reconstruction implicit neural representation deep image prior Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 20 Mar, 2026 Reviews received at journal 19 Mar, 2026 Reviews received at journal 21 Feb, 2026 Reviewers agreed at journal 15 Jan, 2026 Reviewers agreed at journal 14 Jan, 2026 Reviewers invited by journal 14 Jan, 2026 Editor assigned by journal 04 Jan, 2026 Submission checks completed at journal 27 Dec, 2025 First submitted to journal 25 Dec, 2025 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. 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