{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T06:48:31Z","timestamp":1758350911592,"version":"3.44.0"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032051400"},{"type":"electronic","value":"9783032051417"}],"license":[{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05141-7_17","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:18:57Z","timestamp":1758269937000},"page":"168-177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating Bone Mineral Density and\u00a0Muscle Mass from\u00a0EOS Low Dose X-Ray Imaging System"],"prefix":"10.1007","author":[{"given":"Kazuki","family":"Suehara","sequence":"first","affiliation":[]},{"given":"Yi","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Yoshito","family":"Otake","sequence":"additional","affiliation":[]},{"given":"Keisuke","family":"Uemura","sequence":"additional","affiliation":[]},{"given":"Masashi","family":"Okamoto","sequence":"additional","affiliation":[]},{"given":"Kunihiko","family":"Tokunaga","sequence":"additional","affiliation":[]},{"given":"Hugues","family":"Talbot","sequence":"additional","affiliation":[]},{"given":"Yoshinobu","family":"Sato","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Anam, M., et\u00a0al.: Osteoporosis prediction for trabecular bone using machine learning: a review. Comput. Mater. Contin. (CMC) 67(1) (2021)","DOI":"10.32604\/cmc.2021.013159"},{"issue":"5","key":"17_CR2","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.11124\/JBIES-22-00213","volume":"21","author":"K Brage","year":"2023","unstructured":"Brage, K., Mussmann, B., Geijer, M., Larsen, P., Jensen, J.: Clinical application of eos imaging system: a scoping review protocol. JBI Evidence Synthesis 21(5), 1009\u20131015 (2023)","journal-title":"JBI Evidence Synthesis"},{"issue":"1","key":"17_CR3","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1093\/ageing\/afy169","volume":"48","author":"AJ Cruz-Jentoft","year":"2019","unstructured":"Cruz-Jentoft, A.J., et al.: Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48(1), 16\u201331 (2019)","journal-title":"Age Ageing"},{"key":"17_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102970","volume":"90","author":"Y Gu","year":"2023","unstructured":"Gu, Y., et al.: Bone mineral density estimation from a plain x-ray image by learning decomposition into projections of bone-segmented computed tomography. Med. Image Anal. 90, 102970 (2023)","journal-title":"Med. Image Anal."},{"key":"17_CR5","doi-asserted-by":"publisher","unstructured":"Gu, Y., et al.: MSKdeX: musculoskeletal (MSK) decomposition from an x-ray image for fine-grained estimation of lean muscle mass and muscle volume. In: Greenspan, H., et al. (eds.) Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023. MICCAI 2023. LNCS, vol. 14226, pp. 497\u2013507. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43990-2_47","DOI":"10.1007\/978-3-031-43990-2_47"},{"issue":"4","key":"17_CR6","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.1109\/TMI.2019.2940555","volume":"39","author":"Y Hiasa","year":"2019","unstructured":"Hiasa, Y., Otake, Y., Takao, M., Ogawa, T., Sugano, N., Sato, Y.: Automated muscle segmentation from clinical ct using bayesian u-net for personalized musculoskeletal modeling. IEEE Trans. Med. Imaging 39(4), 1030\u20131040 (2019)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"17_CR7","doi-asserted-by":"publisher","first-page":"5472","DOI":"10.1038\/s41467-021-25779-x","volume":"12","author":"CI Hsieh","year":"2021","unstructured":"Hsieh, C.I., et al.: Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning. Nat. Commun. 12(1), 5472 (2021)","journal-title":"Nat. Commun."},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Kim, S., et al.: Deep radiomics\u2013based approach to the diagnosis of osteoporosis using hip radiographs. Radiol. Artif. Intell. 4(4), e210212 (2022)","DOI":"10.1148\/ryai.210212"},{"issue":"4","key":"17_CR9","doi-asserted-by":"publisher","first-page":"948","DOI":"10.1109\/TMI.2011.2176555","volume":"31","author":"Y Otake","year":"2011","unstructured":"Otake, Y., et al.: Intraoperative image-based multiview 2D\/3D registration for image-guided orthopaedic surgery: incorporation of fiducial-based c-arm tracking and gpu-acceleration. IEEE Trans. Med. Imaging 31(4), 948\u2013962 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"6","key":"17_CR10","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.2106\/JBJS.G.00980","volume":"90","author":"B Sander","year":"2008","unstructured":"Sander, B., Elliot-Gibson, V., Beaton, D.E., Bogoch, E.R., Maetzel, A.: A coordinator program in post-fracture osteoporosis management improves outcomes and saves costs. JBJS 90(6), 1197\u20131205 (2008)","journal-title":"JBJS"},{"issue":"1","key":"17_CR11","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s11657-022-01063-3","volume":"17","author":"K Uemura","year":"2022","unstructured":"Uemura, K., et al.: Development of an open-source measurement system to assess the areal bone mineral density of the proximal femur from clinical ct images. Arch. Osteoporos. 17(1), 17 (2022)","journal-title":"Arch. Osteoporos."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05141-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:19:01Z","timestamp":1758269941000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05141-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032051400","9783032051417"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05141-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,20]]},"assertion":[{"value":"20 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}