{"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/simrx-a-simulation-toolbox-for-mrx","title":"SiMRX -- A Simulation toolbox for MRX","arxiv_id":"1810.02286","date":"2018-10-04","proceeding":null,"authors":["Lea Föcke"],"abstract":"SiMRX is a MRX simulation toolbox written in MATLAB for simulation of realistic 2D and 3D Magnetorelaxometry (MRX) setups, including coils, sensors and activation patterns. MRX is a new modality that uses magnetic nanoparticles (MNP) as contrast agent and shows promising results in medical applications, e.g. cancer treatment. Its basic principles were outlined in [Baumgarten et al., 2008], further elaborated in [Liebl et al., 2014], transferred into a rigorous mathematical model and analyzed in [F\\\"ocke et al., 2018]. SiMRX is available at https://gitlab.com/simrx/simrx/.","url_abs":"https://arxiv.org/abs/1810.02286v7","url_pdf":"https://arxiv.org/pdf/1810.02286v7.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":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"simrx-a-simulation-toolbox-for-mrx","repo_url":"https://gitlab.com/simrx/simrx","is_official":1,"mentioned_in_paper":1,"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}