{"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/fast-precise-myelin-water-quantification","title":"Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning","arxiv_id":"1809.08908","date":"2018-09-24","proceeding":null,"authors":["Gopal Nataraj","Jon-Fredrik Nielsen","Mingjie Gao","Jeffrey A. Fessler"],"abstract":"Purpose: To investigate the feasibility of myelin water content\nquantification using fast dual-echo steady-state (DESS) scans and machine\nlearning with kernels.\n  Methods: We optimized combinations of steady-state (SS) scans for precisely\nestimating the fast-relaxing signal fraction ff of a two-compartment signal\nmodel, subject to a scan time constraint. We estimated ff from the optimized\nDESS acquisition using a recently developed method for rapid parameter\nestimation via regression with kernels (PERK). We compared DESS PERK ff\nestimates to conventional myelin water fraction (MWF) estimates from a longer\nmulti-echo spin-echo (MESE) acquisition in simulation, in vivo, and ex vivo\nstudies.\n  Results: Simulations demonstrate that DESS PERK ff estimators and MESE MWF\nestimators achieve comparable error levels. In vivo and ex vivo experiments\ndemonstrate that MESE MWF and DESS PERK ff estimates are quantitatively\ncomparable measures of WM myelin water content. To our knowledge, these\nexperiments are the first to demonstrate myelin water images from a SS\nacquisition that are quantitatively similar to conventional MESE MWF images.\n  Conclusion: Combinations of fast DESS scans can be designed to enable precise\nff estimation. PERK is well-suited for ff estimation. DESS PERK ff and MESE MWF\nestimates are quantitatively similar measures of WM myelin water content.","url_abs":"http://arxiv.org/abs/1809.08908v1","url_pdf":"http://arxiv.org/pdf/1809.08908v1.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":"fast-precise-myelin-water-quantification","repo_url":"https://github.com/gopal-nataraj/mwf","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"parameter-estimation","task_name":"parameter estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}