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The T1 map calculation involved pixel-wise curve fitting based on the T1 relaxation model. A variety of methods were evaluated using data from 30 subjects for computational efficiency: MRmap, python Levenberg\u2013Marquardt (LM), python reduced-dimension (RD) non-linear least square, C++ single- and multi-core LM, and C++ single- and multi-core RD.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Median (interquartile range) computation time was 126\u00a0s (98\u2013141) for the publicly available software MRmap, 261\u00a0s (249\u2013282) for python LM, 77\u00a0s (74\u201380) for python RD, 3.4\u00a0s (3.1\u20133.6) for C++ multi-core LM, and 1.9\u00a0s (1.9\u20132.0) for C++ multi-core RD. The fastest C++ multi-core RD and the publicly available MRmap showed good agreement of myocardial T1 values, resulting in 95% Bland\u2013Altman limits of agreement of (\u2212\u20090.83 to 0.58\u00a0ms) and (\u2212\u20096.57 to 7.36\u00a0ms) with mean differences of \u2212\u20090.13\u00a0ms and 0.39\u00a0ms, for the pre- and post-contrast, respectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The C++ multi-core RD was the fastest method on a regular eight-core personal computer for pre- or post-contrast T1 map calculation. The presented software tool (fT1fit) facilitated rapid T1 map and extracellular volume fraction map calculations.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-021-00558-8","type":"journal-article","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T20:30:21Z","timestamp":1613161821000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fast calculation software for modified Look-Locker inversion recovery (MOLLI) T1 mapping"],"prefix":"10.1186","volume":"21","author":[{"given":"Yoon-Chul","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khu Rai","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyelee","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9983-048X","authenticated-orcid":false,"given":"Yeon Hyeon","family":"Choe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,12]]},"reference":[{"issue":"1","key":"558_CR1","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1186\/s12968-016-0308-4","volume":"18","author":"P Haaf","year":"2016","unstructured":"Haaf P, Garg P, Messroghli DR, Broadbent DA, Greenwood JP, Plein S. 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