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LA segmentations are currently being performed manually, which is time-consuming and observer-dependent.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study presents an automated image processing algorithm for time-resolved LA segmentation in cardiac magnetic resonance imaging (MRI) long-axis cine images of the 2-chamber (2ch) and 4-chamber (4ch)\u00a0views using active contours. The proposed algorithm combines mitral valve tracking, automated threshold calculation, edge detection on a radially resampled image, edge tracking based on Dijkstra\u2019s algorithm, and post-processing involving smoothing and interpolation. The algorithm was evaluated in 37 patients diagnosed mainly with paroxysmal atrial fibrillation. Segmentation accuracy was assessed using the Dice similarity coefficient (DSC) and Hausdorff distance (HD), with manual segmentations in all time frames as the reference standard. For inter-observer variability analysis, a second observer performed manual segmentations at end-diastole and end-systole on all subjects.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proposed automated method achieved high performance in segmenting the LA in long-axis cine sequences, with a DSC of 0.96 for 2ch and 0.95 for 4ch, and an HD of 5.5\u00a0mm for 2ch and 6.4\u00a0mm for 4ch. The manual inter-observer variability analysis had an average DSC of 0.95 and an average HD of 4.9\u00a0mm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The proposed automated method achieved performance on par with human experts analyzing MRI images for evaluation of atrial size and function.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12880-021-00630-3","type":"journal-article","created":{"date-parts":[[2021,6,19]],"date-time":"2021-06-19T11:03:43Z","timestamp":1624100623000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours"],"prefix":"10.1186","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9384-4602","authenticated-orcid":false,"given":"Ricardo A.","family":"Gonzales","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felicia","family":"Seemann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00e9r\u00f4me","family":"Lamy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Per M.","family":"Arvidsson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Einar","family":"Heiberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Murray","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dana C.","family":"Peters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,19]]},"reference":[{"key":"630_CR1","doi-asserted-by":"crossref","unstructured":"Lloyd-Jones DM, Wang TJ, Leip EP, Larson MG, Levy D, Vasan RS, D\u2019Agostino RB, Massaro JM, Beiser A, Wolf PA, Benjamin EJ. 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