{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T21:14:32Z","timestamp":1790716472598,"version":"4.1.0"},"reference-count":34,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004963","name":"Seventh Framework Programme","doi-asserted-by":"publisher","award":["305697"],"award-info":[{"award-number":["305697"]}],"id":[{"id":"10.13039\/501100004963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To propose a novel segmentation framework that is dedicated to the follow\u2010up of fat infiltration in individual muscles of patients with neuromuscular disorders.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We designed a semi\u2010automatic segmentation pipeline of individual leg muscles in MR images based on automatic propagation through nonlinear registrations of initial delineation in a minimal number of MR slices. This approach has been validated for the segmentation of individual muscles from MRI data sets, acquired over a 10\u2010month period, from thighs and legs in 10 patients with muscular dystrophy. The robustness of the framework was evaluated using conventional metrics related to muscle volume and clinical metrics related to fat infiltration.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>High accuracy of the semi\u2010automatic segmentation (mean Dice similarity coefficient higher than 0.89) was reported. The provided method has excellent reliability regarding the reproducibility of the fat fraction estimation, with an average intraclass correlation coefficient score of 0.99. Furthermore, the present segmentation framework was determined to be more reliable than the intra\u2010expert performance, which had an average intraclass correlation coefficient of 0.93.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The proposed framework of segmentation can successfully provide an effective and reliable tool for accurate follow\u2010up of any MRI biomarkers in neuromuscular disorders. This method could assist the quantitative assessment of muscular changes occurring in such diseases.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.28030","type":"journal-article","created":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T09:44:43Z","timestamp":1572687883000},"page":"1825-1836","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["A novel segmentation framework dedicated to the follow\u2010up of fat infiltration in individual muscles of patients with neuromuscular disorders"],"prefix":"10.1002","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9178-9964","authenticated-orcid":false,"given":"Augustin C.","family":"Ogier","sequence":"first","affiliation":[{"name":"Aix Marseille University Universit\u00e9 de Toulon CNRS LIS Marseille France"},{"name":"Aix Marseille University CNRS CRMBM Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda","family":"Heskamp","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constance P.","family":"Michel","sequence":"additional","affiliation":[{"name":"Aix Marseille University CNRS CRMBM Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Four\u00e9","sequence":"additional","affiliation":[{"name":"Aix Marseille University CNRS CRMBM Marseille France"},{"name":"Laboratoire Interuniversitaire de Biologie de la Motricit\u00e9 Universit\u00e9 Claude Bernard Lyon 1 Villeurbanne France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc\u2010Emmanuel","family":"Bellemare","sequence":"additional","affiliation":[{"name":"Aix Marseille University Universit\u00e9 de Toulon CNRS LIS Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnaud","family":"Le Troter","sequence":"additional","affiliation":[{"name":"Aix Marseille University CNRS CRMBM Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arend","family":"Heerschap","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Bendahan","sequence":"additional","affiliation":[{"name":"Aix Marseille University CNRS CRMBM Marseille France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,11,2]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0085416"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nmd.2014.01.015"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(15)00242-2"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000000775"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000002640"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20804"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24370"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.3233\/JND-160145"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nmd.2017.02.009"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-006-0111-5"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0132717"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0183825"},{"key":"e_1_2_7_14_1","doi-asserted-by":"crossref","unstructured":"EssafiS LangsG DeuxJ\u2010F RahmouniA BassezG ParagiosN.Wavelet\u2010driven knowledge\u2010based MRI calf muscle segmentation. 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