{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:39:31Z","timestamp":1753886371898,"version":"3.41.2"},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2006,1,4]],"date-time":"2006-01-04T00:00:00Z","timestamp":1136332800000},"content-version":"vor","delay-in-days":3,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Biomedical Imaging"],"published-print":{"date-parts":[[2006,1]]},"abstract":"<jats:p>We present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. Given an MRI image, the user can interactively initialize a seed model within region of interest. The model will then start to evolve by incorporating both boundary and region information following the principle of variational analysis. The deformation will stop when an equilibrium state is achieved. To overcome the low contrast of the original image data, a nonparametric kernel\u2010based method is applied to simultaneously update the interior probability distribution during the model evolution. Our experiments on both 2D and 3D image data demonstrate that the new method is robust to image noise and inhomogeneity and will not leak from spurious edge gaps.<\/jats:p>","DOI":"10.1155\/ijbi\/2006\/86747","type":"journal-article","created":{"date-parts":[[2006,4,5]],"date-time":"2006-04-05T12:24:41Z","timestamp":1144239881000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Brain Structure Segmentation from MRI by Geometric Surface Flow"],"prefix":"10.1155","volume":"2006","author":[{"given":"Greg","family":"Heckenberg","sequence":"first","affiliation":[]},{"given":"Yongjian","family":"Xi","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Duan","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Hua","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2006,1,4]]},"reference":[{"key":"e_1_2_1_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767807"},{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00133570"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.588023"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.2001.0920"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-8415(99)80006-1"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.368173"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/42.811261"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.216727"},{"key":"e_1_2_1_9_2","doi-asserted-by":"crossref","unstructured":"MillerJ. V. BreenD. E. LorensenW. E. O\u2032BaraR. M. andWoznyM. J. Geometrically deformed models: a method for extracting closed geometric models form volume data Proceedings of 18th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH \u203291) July\u2013August 1991 Las Vegas Nev USA 217\u2013226.","DOI":"10.1145\/122718.122742"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-8415(96)80007-7"},{"key":"e_1_2_1_11_2","unstructured":"Singh Goldgof andTerzopoulos Deformable Models in Medical Image Analysis 1998 IEEE Computer Society Press Los Alamitos Calif USA."},{"key":"e_1_2_1_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/cav.21"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-005-0282-6"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1006\/jcph.1997.5810"},{"key":"e_1_2_1_15_2","doi-asserted-by":"crossref","unstructured":"Huang Metaxas andChen MetaMorphs: Deformable shape and texture models 1 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR \u203204) June\u2013July 2004 Washington DC USA 496\u2013503.","DOI":"10.1109\/CVPR.2004.1315072"},{"key":"e_1_2_1_16_2","doi-asserted-by":"crossref","unstructured":"BishopC. M. Neural Networks for Pattern Recognition 1995 Oxford University Press Oxford UK.","DOI":"10.1093\/oso\/9780198538493.001.0001"}],"container-title":["International Journal of Biomedical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2006\/086747.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/IJBI\/2006\/86747","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T07:11:45Z","timestamp":1736320305000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/IJBI\/2006\/86747"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,1]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2006,1]]}},"alternative-id":["10.1155\/IJBI\/2006\/86747"],"URL":"https:\/\/doi.org\/10.1155\/ijbi\/2006\/86747","archive":["Portico"],"relation":{},"ISSN":["1687-4188","1687-4196"],"issn-type":[{"type":"print","value":"1687-4188"},{"type":"electronic","value":"1687-4196"}],"subject":[],"published":{"date-parts":[[2006,1]]},"assertion":[{"value":"2006-01-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"086747"}}