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This method is tested using simulations and in vivo data. The depiction of air\u2013tissue boundaries is evaluated quantitatively using a sharpness metric and visual inspection.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Simulations demonstrate that the proposed method provides robust off\u2010resonance correction for spiral readout durations up to 5 ms at 1.5T. In \u2010vivo experiments during human speech production demonstrate that image sharpness is improved in a majority of data sets at air\u2013tissue boundaries including the upper lip, hard palate, soft palate, and tongue boundaries, whereas the lower lip shows little improvement in the edge sharpness after correction.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Dynamic off\u2010resonance correction is feasible from single\u2010TE spiral RT\u2010MRI data, and provides a practical performance improvement in articulator sharpness when applied to speech production imaging.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.27373","type":"journal-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T06:25:42Z","timestamp":1532931942000},"page":"234-246","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Dynamic off\u2010resonance correction for spiral real\u2010time MRI of speech"],"prefix":"10.1002","volume":"81","author":[{"given":"Yongwan","family":"Lim","sequence":"first","affiliation":[{"name":"Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering University of Southern California Los Angeles California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sajan Goud","family":"Lingala","sequence":"additional","affiliation":[{"name":"Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering University of Southern California Los Angeles California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shrikanth S.","family":"Narayanan","sequence":"additional","affiliation":[{"name":"Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering University of Southern California Los Angeles California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krishna S.","family":"Nayak","sequence":"additional","affiliation":[{"name":"Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering University of Southern California Los Angeles California"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,7,29]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24997"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.918034"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2014.05.001"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.401012"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.404204"},{"key":"e_1_2_8_7_1","doi-asserted-by":"crossref","unstructured":"DenbyB StoneM.Speech synthesis from real time ultrasound images of the tongue. 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