{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T15:02:55Z","timestamp":1790348575728,"version":"4.1.0"},"reference-count":40,"publisher":"Walter de Gruyter GmbH","issue":"5","license":[{"start":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_bmt-2025-0026_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Identification of bony landmarks in medical images is of high importance for 3D planning in orthopaedic surgery. Automated landmark identification has the potential to optimize clinical routines and allows for the scientific analysis of large databases. To the authors\u2019 knowledge, no direct comparison of different methods for automated landmark detection on the same dataset has been published to\u00a0date.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_bmt-2025-0026_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We compared 3 methods for automated femoral landmark identification: an artificial neural network, a statistical shape model and a geometric approach. All methods were compared against manual measurements of two raters on the task of identifying 6 femoral landmarks on CT data or derived surface models of 202 femora.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_bmt-2025-0026_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The accuracy of the methods was in the range of the manual measurements and comparable to those reported in previous studies. The geometric approach showed a significantly higher average deviation compared to the manually selected reference landmarks, while there was no statistically significant difference for the neural network and the\u00a0SSM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_bmt-2025-0026_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>All fully automated methods show potential for use, depending on the use case. Characteristics of the different methods, such as the input data required (raw CT\/segmented bone surface models, amount of training data required) and\/or the methods robustness, can be used for method selection in the individual application.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/bmt-2025-0026","type":"journal-article","created":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T04:45:49Z","timestamp":1747889149000},"page":"425-431","source":"Crossref","is-referenced-by-count":2,"title":["Validation and comparison of three different methods for automated identification of distal femoral landmarks in 3D"],"prefix":"10.1515","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1490-2521","authenticated-orcid":false,"given":"Luisa","family":"Berger","sequence":"first","affiliation":[{"name":"Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Br\u00f6\u00dfner","sequence":"additional","affiliation":[{"name":"Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonja","family":"Ehreiser","sequence":"additional","affiliation":[{"name":"Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunihiko","family":"Tokunaga","sequence":"additional","affiliation":[{"name":"Niigata Hip Joint Center , Kameda Daiichi Hospital , Niigata City , Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masashi","family":"Okamoto","sequence":"additional","affiliation":[{"name":"Department of Radiology, Niigata Hip Joint Center , Kameda Daichii Hospital , Niigata City , Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Klaus","family":"Radermacher","sequence":"additional","affiliation":[{"name":"Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"2026050502130805039_j_bmt-2025-0026_ref_001","doi-asserted-by":"crossref","unstructured":"Rajamani, KT, Styner, MA, Talib, H, Zheng, G, Nolte, LP, Gonzalez Ballester, MA. 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