{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T04:07:08Z","timestamp":1768536428877,"version":"3.49.0"},"reference-count":15,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2008,4,11]],"date-time":"2008-04-11T00:00:00Z","timestamp":1207872000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2008,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To propose an advanced phase\u2010correction region\u2010growing algorithm for two\u2010point fat\u2013water separation suitable for parotid assessment, and to evaluate the general performance of phase\u2010correction algorithms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Two region\u2010growing algorithms were evaluated in test objects and in head images: the original phase\u2010correction algorithm (OPC) and the advanced phase\u2010correction algorithm with voxel size manipulation (VSM) which includes: 1) starting the region\u2010growing process from images of lower resolution and subsequently stepping toward the original matrix size, and 2) limiting the use of low\u2010pass filters to fat\u2013water interfaces with partial volume effects<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Fundamental problems relate to biological tissue spectrum being poorly approximated by two discrete peaks for fat and water. The VSM algorithm was shown to be less noise\u2010sensitive, faster, and to produce a better approximation for the field inhomogeneity map. In head images (6 volunteers, 10 slices each) 43 errors were found with the OPC algorithm and only 6 errors with the VSM algorithm. Only the OPC algorithm produced errors surrounding the parotids (10 errors).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The VSM algorithm provides a more accurate and less noise\u2010sensitive fat\u2013water separation. This highly significant performance improvement allows the application of phase\u2010correction algorithms to a wider range of clinical applications. J. Magn. Reson. Imaging 2008. \u00a9 2008 Wiley\u2010Liss, Inc.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.21310","type":"journal-article","created":{"date-parts":[[2008,4,11]],"date-time":"2008-04-11T21:19:09Z","timestamp":1207948749000},"page":"1122-1129","source":"Crossref","is-referenced-by-count":12,"title":["Two\u2010point dixon fat\u2013water separation: Improving reliability and accuracy in phase correction algorithms"],"prefix":"10.1002","volume":"27","author":[{"given":"Maria A.","family":"Schmidt","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karlene M.","family":"Fraser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2008,4,11]]},"reference":[{"key":"e_1_2_5_2_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.153.1.6089263"},{"key":"e_1_2_5_3_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910180211"},{"key":"e_1_2_5_4_2","first-page":"1002","article-title":"Multipoint Dixon technique for water and fat proton and susceptibility imaging","volume":"7","author":"Glover GH","year":"1997","journal-title":"J Magn Reson Imaging"},{"key":"e_1_2_5_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.1880080329"},{"key":"e_1_2_5_6_2","volume-title":"Two\u2010dimensional phase unwrapping: theory, algorithm, and software","author":"Ghiglia DC","year":"1998"},{"key":"e_1_2_5_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10354"},{"key":"e_1_2_5_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10675"},{"key":"e_1_2_5_9_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20623"},{"key":"e_1_2_5_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20654"},{"key":"e_1_2_5_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20146"},{"key":"e_1_2_5_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910370426"},{"key":"e_1_2_5_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910380606"},{"key":"e_1_2_5_14_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20470"},{"key":"e_1_2_5_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3223(98)00221-2"},{"key":"e_1_2_5_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0009-9260(98)80161-X"}],"container-title":["Journal of Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fjmri.21310","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jmri.21310","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T12:15:10Z","timestamp":1697112910000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jmri.21310"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,4,11]]},"references-count":15,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2008,5]]}},"alternative-id":["10.1002\/jmri.21310"],"URL":"https:\/\/doi.org\/10.1002\/jmri.21310","archive":["Portico"],"relation":{},"ISSN":["1053-1807","1522-2586"],"issn-type":[{"value":"1053-1807","type":"print"},{"value":"1522-2586","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,4,11]]}}}