{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-analysis-by-synthesis-approach-for","title":"An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT","arxiv_id":"1812.00693","date":"2018-12-03","proceeding":null,"authors":["Stefan Reinhold. Timo Damm","Lukas Huber","Reimer Andresen","Reinhard Barkmann","Claus-C. Glüer","Reinhard Koch"],"abstract":"Quantitative computed tomography (QCT) is a widely used tool for osteoporosis\ndiagnosis and monitoring. The assessment of cortical markers like cortical bone\nmineral density (BMD) and thickness is a demanding task, mainly because of the\nlimited spatial resolution of QCT. We propose a direct model based method to\nautomatically identify the surface through the center of the cortex of human\nvertebra. We develop a statistical bone model and analyze its probability\ndistribution after the imaging process. Using an as-rigid-as-possible\ndeformation we find the cortical surface that maximizes the likelihood of our\nmodel given the input volume. Using the European Spine Phantom (ESP) and a high\nresolution \\mu CT scan of a cadaveric vertebra, we show that the proposed\nmethod is able to accurately identify the real center of cortex ex-vivo. To\ndemonstrate the in-vivo applicability of our method we use manually obtained\nsurfaces for comparison.","url_abs":"http://arxiv.org/abs/1812.00693v1","url_pdf":"http://arxiv.org/pdf/1812.00693v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-analysis-by-synthesis-approach-for","repo_url":"https://github.com/ithron/CortidQCT","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}