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SMS-RESOLVE DWI and conventional RESOLVE DWI were scanned with matched imaging parameters, respectively. The scan time of two DWI sequences was recorded. Qualitative (anatomical structure differentiation, lesion display, artifact, and overall image quality) and quantitative (apparent diffusion coefficient, ADC; ratio of signal-to-noise ratio, SNR ratio; ratio of contrast-to-noise ratio, CNR ratio) assessments of image quality were performed, and compared between SMS-RESOLVE DWI and conventional RESOLVE DWI by using Paired\n                      <jats:italic>t<\/jats:italic>\n                      -test. Two-sided\n                      <jats:italic>P<\/jats:italic>\n                      value less than 0.05 indicated significant difference.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The scan time was 3\u2009min and 41\u2009s for SMS-RESOLVE DWI, and 5\u2009min and 46\u2009s for conventional RESOLVE DWI. SMS-RESOLVE DWI produced similar qualitative image quality with RESOLVE DWI (anatomical structure differentiation,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.164; lesion display,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.193; artifact,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.330; overall image quality,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.083). Meanwhile, there were no significant difference on ADC\n                      <jats:sub>Lesion<\/jats:sub>\n                      (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.298), ADC\n                      <jats:sub>Masseter<\/jats:sub>\n                      (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.122), SNR ratio (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.584) and CNR ratio (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.217) between two DWI sequences.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Compared with conventional RESOLVE DWI, SMS-RESOLVE DWI could provide comparable image quality using markedly reduced scan time. SMS could increase the clinical usability of RESOLVE technique for DWI of parotid gland.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-020-00492-1","type":"journal-article","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T08:04:41Z","timestamp":1596701081000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Feasibility study of using simultaneous multi-slice RESOLVE diffusion weighted imaging to assess parotid gland tumors: comparison with conventional RESOLVE diffusion weighted imaging"],"prefix":"10.1186","volume":"20","author":[{"given":"Jia-Suo","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Liu-Ning","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5493-5256","authenticated-orcid":false,"given":"Xiao-Quan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Fei-Yun","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"issue":"1060","key":"492_CR1","doi-asserted-by":"publisher","first-page":"20150912","DOI":"10.1259\/bjr.20150912","volume":"89","author":"Y Yuan","year":"2016","unstructured":"Yuan Y, Tang W, Tao X. 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