{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/190105542","title":"Free-breathing and ungated cardiac cine using navigator-less spiral SToRM","arxiv_id":"1901.05542","date":"2019-01-16","proceeding":null,"authors":["Abdul Haseeb Ahmed","Yasir Mohsin","Ruixi Zhou","Yang Yang","Michael Salerno","Prashant Nagpal","Mathews Jacob"],"abstract":"Purpose: To develop a free-breathing and ungated cardiac MRI scheme using an\niterative kernel low-rank algorithm and self-gated spiral sequence. Methods:\nThe data were acquired continuously over 8-16 seconds per slice without ECG\ngating or breath holding using a golden-angle gradient echo spiral sequence.\nThe reconstruction scheme relies on the manifold structure of a dynamic data to\nrecover it from the highly undersampled measurements. An iterative kernel\nlow-rank algorithm is introduced to estimate the manifold structure of the\nimages, or equivalently the manifold Laplacian matrix, from the central k-space\nregions. The iterative algorithm, coupled with the non-Cartesian acquisitions,\neliminates the need for dedicated navigators to estimate the manifold\nLaplacian, unlike previous manifold methods, thus improving sampling\nefficiency. Results: The proposed method is demonstrated in patients with\ndifferent breathing patterns and cardiac rates. The experiments show the\nability of our proposed iterative strategy to reduce spatial and temporal\nblurring compared to state-of-the-art methods. Conclusion: The iterative SToRM\nalgorithm facilitates the extension of manifold regularization to\nnavigator-less spiral acquisitions, thus improving sampling efficiency. The\nproposed scheme eliminates the need for breath-holding and ECG gating, while\nfacilitating the imaging of the cardiac function in different respiratory\nphases.","url_abs":"http://arxiv.org/abs/1901.05542v1","url_pdf":"http://arxiv.org/pdf/1901.05542v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"190105542","repo_url":"https://github.com/ahaseebahmed/SpiralSToRM-Iterative","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"190105542","repo_url":"https://github.com/ahaseebahmed/SpiralSToRM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}