{"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/supra-open-source-software-defined-ultrasound","title":"SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications","arxiv_id":"1711.06127","date":"2017-11-16","proceeding":null,"authors":["Rüdiger Göbl","Nassir Navab","Christoph Hennersperger"],"abstract":"Research in ultrasound imaging is limited in reproducibility by two factors:\nFirst, many existing ultrasound pipelines are protected by intellectual\nproperty, rendering exchange of code difficult. Second, most pipelines are\nimplemented in special hardware, resulting in limited flexibility of\nimplemented processing steps on such platforms.\n  Methods: With SUPRA we propose an open-source pipeline for fully Software\nDefined Ultrasound Processing for Real-time Applications to alleviate these\nproblems. Covering all steps from beamforming to output of B-mode images, SUPRA\ncan help improve the reproducibility of results and make modifications to the\nimage acquisition mode accessible to the research community. We evaluate the\npipeline qualitatively, quantitatively, and regarding its run-time.\n  Results: The pipeline shows image quality comparable to a clinical system and\nbacked by point-spread function measurements a comparable resolution. Including\nall processing stages of a usual ultrasound pipeline, the run-time analysis\nshows that it can be executed in 2D and 3D on consumer GPUs in real-time.\n  Conclusions: Our software ultrasound pipeline opens up the research in image\nacquisition. Given access to ultrasound data from early stages (raw channel\ndata, radiofrequency data) it simplifies the development in imaging.\nFurthermore, it tackles the reproducibility of research results, as code can be\nshared easily and even be executed without dedicated ultrasound hardware.","url_abs":"http://arxiv.org/abs/1711.06127v3","url_pdf":"http://arxiv.org/pdf/1711.06127v3.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":"supra-open-source-software-defined-ultrasound","repo_url":"https://github.com/IFL-CAMP/supra","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}