{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T15:22:05Z","timestamp":1747149725891,"version":"3.40.5"},"reference-count":34,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T00:00:00Z","timestamp":1558483200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2019,12]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Phase\u2010sensitive inversion recovery (PSIR) is a powerful cardiac MRI method to assess myocardial viability, which can eliminate the background phase and preserve the sign of the desired magnetization during inversion recovery.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose\/Hypothesis<\/jats:title><jats:p>To shorten the acquisition time of myocardial viability imaging by introducing both simultaneous multislice (SMS) and parallel imaging (PI) into PSIR without additional acquisitions for calibration data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>A high\u2010resolution phantom and three vials with doped solutions matching typical postcontrast T<jats:sub>1<\/jats:sub> and T<jats:sub>2<\/jats:sub> values of scar, healthy myocardium, and blood; 18 patients (six with known myocardial infarction) were included in this study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3T\/segmented fast spoiled gradient echo pulse sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Phantom and in vivo experiments were performed to compare the performance of conventional PSIR, SMS accelerated PSIR (SMS\u2010PSIR, 2\u00d7 acceleration), and SMS as well as PI accelerated PSIR (SMS\u2009+\u2009PI\u2010PSIR, 4\u00d7 acceleration). In phantom experiments, the error maps, local signal\u2010to\u2010noise ratio (SNR), and contrast\u2010to\u2010noise ratio (CNR) were calculated. In in vivo experiments, the image quality and artifact level of each study were qualitatively graded (by three radiologists). G\u2010factor maps were calculated. The infarct size presented as a percentage of the left ventricle was measured (full\u2010width half\u2010maximum). Acquisition time of each study was recorded.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Test<\/jats:title><jats:p>One\u2010way analysis of variance, Kruskal\u2013Wallis test.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In phantom experiments, SNR and CNR were well preserved for SMS\u2010PSIR, while they dropped for SMS\u2009+\u2009PI\u2010PSIR, as expected. In 15 subjects, the overall image quality scores were not significantly different among conventional PSIR (3.70\u2009\u00b1\u20091.06), SMS\u2010PSIR (3.78\u2009\u00b1\u20090.99), and SMS\u2009+\u2009PI\u2010PSIR (3.47\u2009\u00b1\u20090.94; <jats:italic>P<\/jats:italic> = 0.20). The artifact level scores were also comparable among conventional PSIR (3.67\u2009\u00b1\u20091.04), SMS\u2010PSIR (3.77\u2009\u00b1\u20091.03), and SMS\u2009+\u2009PI\u2010PSIR (3.45\u2009\u00b1\u20091.00; <jats:italic>P<\/jats:italic> = 0.22). SMS\u2010PSIR achieved negligible g\u2010factor noise amplification (1.04\u2009\u00b1\u20090.03) and SMS\u2009+\u2009PI\u2010PSIR showed higher g\u2010factors (2.83\u2009\u00b1\u20090.48). The infarct size was consistent among conventional PSIR (22.51\u2009\u00b1\u200925.05%) and SMS\u2010PSIR (22.98\u2009\u00b1\u200926.19%), as well as SMS\u2009+\u2009PI\u2010PSIR (22.93\u2009\u00b1\u200925.68%; <jats:italic>P<\/jats:italic> = 0.98). The acquisition time of two short\u2010axis slices for SMS\u2010PSIR (17.6\u2009\u00b1\u20091.7 sec, 16 heartbeats) and SMS\u2009+\u2009PI\u2010PSIR (9.8\u2009\u00b1\u20091.9 sec, 8 heartbeats) was 30% and 17% of that for conventional PSIR (56.2\u2009\u00b1\u20098.5 sec, 32 heartbeats), respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>SMS can be implemented in PSIR without additional reference scan. The image quality is comparable with conventional PSIR, while the acquisition time is much shorter. The proposed method is also compatible with PI to further reduce the scan time.<\/jats:p><jats:p><jats:bold>Level of Evidence:<\/jats:bold> 2<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 3<\/jats:p><jats:p>J. Magn. Reson. Imaging 2019;50:1964\u20131972.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.26795","type":"journal-article","created":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T11:21:40Z","timestamp":1558524100000},"page":"1964-1972","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Feasibility study of highly accelerated phase\u2010sensitive inversion recovery myocardial viability imaging using simultaneous multislice and parallel imaging techniques"],"prefix":"10.1002","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1861-0387","authenticated-orcid":false,"given":"Zhehao","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute for Medical Imaging Technology, School of Biomedical Engineering Shanghai Jiao Tong University  Shanghai China"},{"name":"Shanghai United Imaging Healthcare Co., Ltd.  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