{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T09:55:48Z","timestamp":1656496548306},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2013,10,1]],"date-time":"2013-10-01T00:00:00Z","timestamp":1380585600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2014,2]]},"DOI":"10.1007\/s00138-013-0546-5","type":"journal-article","created":{"date-parts":[[2013,9,29]],"date-time":"2013-09-29T21:49:18Z","timestamp":1380491358000},"page":"529-544","source":"Crossref","is-referenced-by-count":4,"title":["A nonlocal energy minimization approach to brain image segmentation with simultaneous bias field estimation and denoising"],"prefix":"10.1007","volume":"25","author":[{"given":"Zengsi","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dexing","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangfang","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,10,1]]},"reference":[{"issue":"1","key":"546_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/cercor\/11.1.1","volume":"11","author":"P Thompson","year":"2001","unstructured":"Thompson, P., Mega, M., Woods, R., Zoumalan, C., Lindshield, C., Blanton, R., Moussai, J., Holmes, C., Cummings, J., Toga, A.: Cortical change in alzheimer\u2019s disease detected with a disease-specific population-based brain atlas. Cereb. Cortex 11(1), 1\u201316 (2001)","journal-title":"Cereb. Cortex"},{"key":"546_CR2","doi-asserted-by":"crossref","first-page":"3057","DOI":"10.1088\/0031-9155\/51\/12\/004","volume":"51","author":"P Acton","year":"2006","unstructured":"Acton, P., Newberg, A.: Artificial neural network classifier for the diagnosis of parkinson\u2019s disease using [99mtc] trodat-1 and spect. Phys. Med. Biol. 51, 3057\u20133066 (2006)","journal-title":"Phys. Med. Biol."},{"issue":"2","key":"546_CR3","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1109\/42.232267","volume":"12","author":"M Tincher","year":"1993","unstructured":"Tincher, M., Meyer, C., Gupta, R., Williams, D.: Polynomial modeling and reduction of rf body coil spatial inhomogeneity in MRI. IEEE Trans. Med. Imaging 12(2), 361\u2013365 (1993)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"546_CR4","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1109\/TMI.2003.816956","volume":"22","author":"A Liew","year":"2003","unstructured":"Liew, A., Yan, H.: An adaptive spatial fuzzy clustering algorithm for 3-d mr image segmentation. IEEE Trans. Med. Imaging 22(9), 1063\u20131075 (2003)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"546_CR5","doi-asserted-by":"crossref","unstructured":"Li, C., Gatenby, C., Wang, L, Gore, J.: A robust parametric method for bias field estimation and segmentation of mr images. IEEE Conference on Computer Vision and Pattern Recognition, pp. 218\u2013223 (2009)","DOI":"10.1109\/CVPR.2009.5206553"},{"issue":"13","key":"546_CR6","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1016\/j.patrec.2007.04.016","volume":"28","author":"M Garc\u00eda-Sebasti\u00e1n","year":"2007","unstructured":"Garc\u00eda-Sebasti\u00e1n, M., Fern\u00e1ndez, E., Gra\u00f1a, M., Torrealdea, F.: A parametric gradient descent mri intensity inhomogeneity correction algorithm. Pattern Recognit. Lett. 28(13), 1657\u20131666 (2007)","journal-title":"Pattern Recognit. Lett."},{"issue":"10","key":"546_CR7","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1109\/42.811268","volume":"18","author":"K Leemput Van","year":"1999","unstructured":"Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated model-based bias field correction of mr images of the brain. IEEE Trans. Med. Imaging 18(10), 885\u2013896 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"546_CR8","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1002\/hbm.20013","volume":"22","author":"J Gispert","year":"2004","unstructured":"Gispert, J., Reig, S., Pascau, J., Vaquero, J., Garc\u00eda-Barreno, P., Desco, M.: Method for bias field correction of brain t1-weighted magnetic resonance images minimizing segmentation error. Human Brain Mapp. 22(2), 133\u2013144 (2004)","journal-title":"Human Brain Mapp."},{"key":"546_CR9","doi-asserted-by":"crossref","unstructured":"Wells III, W., Grimson, W., Kikinis, R., Jolesz, F.: Adaptive segmentation of mri data. IEEE Trans. Med. Imaging 15(4), 429\u2013442 (1996)","DOI":"10.1109\/42.511747"},{"issue":"3","key":"546_CR10","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1109\/42.585758","volume":"16","author":"R Guillemaud","year":"1997","unstructured":"Guillemaud, R., Brady, M.: Estimating the bias field of mr images. IEEE Trans. Med. Imaging 16(3), 238\u2013251 (1997)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"546_CR11","doi-asserted-by":"crossref","unstructured":"Sled, J., Pike, G.: Understanding intensity non-uniformity in mri. Medical Image Computing and Computer-Assisted InterventationMICCAI98 pp. 614\u2013622 (1998)","DOI":"10.1007\/BFb0056247"},{"issue":"12","key":"546_CR12","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1109\/42.974934","volume":"20","author":"B Likar","year":"2001","unstructured":"Likar, B., Viergever, M., Pernus, F.: Retrospective correction of mr intensity inhomogeneity by information minimization. IEEE Trans. Med. Imaging 20(12), 1398\u20131410 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"546_CR13","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1109\/42.996338","volume":"21","author":"M Ahmed","year":"2002","unstructured":"Ahmed, M., Yamany, S., Mohamed, N., Farag, A., Moriarty, T.: A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data. IEEE Trans. Med. Imaging 21(3), 193\u2013199 (2002)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"546_CR14","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1109\/TMI.2009.2013850","volume":"28","author":"A Mayer","year":"2009","unstructured":"Mayer, A., Greenspan, H.: An adaptive mean-shift framework for mri brain segmentation. IEEE Trans. Med. Imaging 28(8), 1238\u20131250 (2009)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"546_CR15","doi-asserted-by":"crossref","unstructured":"Li, C., Xu, C., Anderson, A., Gore, J.: Mri tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework. In: Information Processing in Medical Imaging, pp. 288\u2013299. Springer, Berlin (2009)","DOI":"10.1007\/978-3-642-02498-6_24"},{"key":"546_CR16","unstructured":"Li, C., Li, F., Kao, C., Xu, C.: Image segmentation with simultaneous illumination and reflectance estimation: An energy minimization approach. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 702\u2013708 (2009)"},{"key":"546_CR17","doi-asserted-by":"crossref","unstructured":"Ji, Z., Chen, Q., Sun, Q., Xia, D., Heng, P.: Mr image segmentation and bias field estimation using coherent local and global intensity clustering. In: 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Vol. 2. IEEE, pp. 578\u2013582 (2010)","DOI":"10.1109\/FSKD.2010.5569472"},{"issue":"3","key":"546_CR18","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/TITB.2012.2185852","volume":"16","author":"Z Ji","year":"2012","unstructured":"Ji, Z., Xia, Y., Sun, Q., Chen, Q., Xia, D., Feng, D.: Fuzzy local gaussian mixture model for brain mr image segmentation. IEEE Trans. Inf. Technol. Biomed. 16(3), 339\u2013347 (2012)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"546_CR19","doi-asserted-by":"crossref","unstructured":"Ji, Z., Xia, Y., Sun, Q., Xia, D., Feng, D.: Local gaussian distribution fitting based FCM algorithm for brain MR image segmentation. Intelligent Science and Intelligent Data Engineering, pp. 318\u2013325 (2012)","DOI":"10.1007\/978-3-642-31919-8_41"},{"key":"546_CR20","doi-asserted-by":"crossref","unstructured":"Derganc, J., Likar, B., Pernus, F.: Nonparametric segmentation of multispectral mr images incorporating spatial and intensity information. In: Proceedings of SPIE, vol 4684, p. 391 (2002)","DOI":"10.1117\/12.467181"},{"issue":"3","key":"546_CR21","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1109\/TMI.2006.891486","volume":"26","author":"U Vovk","year":"2007","unstructured":"Vovk, U., Pernus, F., Likar, B.: A review of methods for correction of intensity inhomogeneity in mri. IEEE Trans. Med. Imaging 26(3), 405\u2013421 (2007)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"546_CR22","unstructured":"Bresson, X., Chan, T.: Non-local unsupervised variational image segmentation models. UCLA cam report 08\u201367 (2008)"},{"key":"546_CR23","doi-asserted-by":"crossref","unstructured":"Jung, M., Vese, L.: Nonlocal variational image deblurring models in the presence of gaussian or impulse noise. Scale Space and Variational Methods in Computer Vision, pp. 401\u2013412 (2009)","DOI":"10.1007\/978-3-642-02256-2_34"},{"key":"546_CR24","doi-asserted-by":"crossref","unstructured":"Caldairou, B., Rousseau, F., Passat, N., Habas, P., Studholme, C., Heinrich, C.: A non-local fuzzy segmentation method: Application to brain mri. In: Computer Analysis of Images and Patterns, pp. 606\u2013613, Springer, Berlin (2009)","DOI":"10.1007\/978-3-642-03767-2_74"},{"key":"546_CR25","unstructured":"Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. CVPR 2005. IEEE Computer Society Conference, vol. 2, pp. 60\u201365 (2005)"},{"issue":"3","key":"546_CR26","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1137\/070698592","volume":"7","author":"G Gilboa","year":"2008","unstructured":"Gilboa, G., Osher, S.: Nonlocal operators with applications to image processing. Multiscale Model. Simul. 7(3), 1005\u20131028 (2008)","journal-title":"Multiscale Model. Simul."},{"issue":"9","key":"546_CR27","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1016\/j.patcog.2010.06.006","volume":"44","author":"B Caldairou","year":"2011","unstructured":"Caldairou, B., Passat, N., Habas, P., Studholme, C., Rousseau, F.: A non-local fuzzy segmentation method: application to brain mri. Pattern Recognit. 44(9), 1916\u20131927 (2011)","journal-title":"Pattern Recognit."},{"issue":"9","key":"546_CR28","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/42.802752","volume":"18","author":"D Pham","year":"1999","unstructured":"Pham, D., Prince, J.: Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans. Med. Imaging 18(9), 737\u2013752 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"546_CR29","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1006\/cviu.2001.0951","volume":"84","author":"D Pham","year":"2001","unstructured":"Pham, D.: Spatial models for fuzzy clustering. Comput. Vis. Image Underst. 84(2), 285\u2013297 (2001)","journal-title":"Comput. Vis. Image Underst."},{"issue":"1\u20134","key":"546_CR30","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L Rudin","year":"1992","unstructured":"Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D: Nonlinear Phenom. 60(1\u20134), 259\u2013268 (1992)","journal-title":"Phys. D: Nonlinear Phenom."},{"issue":"7","key":"546_CR31","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.compmedimag.2009.04.009","volume":"33","author":"Y Chen","year":"2009","unstructured":"Chen, Y., Zhang, J., Macione, J.: An improved level set method for brain mr images segmentation and bias correction. Comput. Med. Imag. Graph. 33(7), 510\u2013519 (2009)","journal-title":"Comput. Med. Imag. Graph."},{"key":"546_CR32","unstructured":"Zhou, D., Sch\u00f6lkopf, B.: A regularization framework for learning from graph data. In: ICML Workshop on Statistical Relational Learning and its Connections to other Field. Banff, Alberta, Canada, pp. 132\u2013137 (2004)"},{"key":"546_CR33","unstructured":"Goldstein, T., Osher, S.: The split Bregman method for L1-regularized problems. SIAM J. Imaging Sci. 2(2), 323\u2013343 (2009)"},{"key":"546_CR34","doi-asserted-by":"crossref","unstructured":"Osher, S., Burger, M., Goldfarb, D., Xu, J., Yin, W.: An iterative regularization method for total variation-based image restoration. Multiscale Model. Simul. 4(2), 460 (2005)","DOI":"10.1137\/040605412"},{"key":"546_CR35","unstructured":"Cocosco, C., Kollokian, V., Kwan, R., Pike, G., Evans, A.: Brainweb: Online interface to a 3d mri simulated brain database. In: NeuroImage, Citeseer (1997)"},{"key":"546_CR36","unstructured":"Worth, A.J.: Internet brain segmentation repository. http:\/\/www.cma.mgh.harvard.edu\/ibsr\/"},{"key":"546_CR37","doi-asserted-by":"crossref","unstructured":"Wang, J., Guo, Y., Ying, Y., Liu, Y., Peng, Q.: Fast non-local algorithm for image denoising. In: 2006 IEEE International Conference on Image Processing, pp. 1429\u20131432 (2006)","DOI":"10.1109\/ICIP.2006.312698"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-013-0546-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00138-013-0546-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-013-0546-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T18:08:49Z","timestamp":1564164529000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00138-013-0546-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,10,1]]},"references-count":37,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,2]]}},"alternative-id":["546"],"URL":"https:\/\/doi.org\/10.1007\/s00138-013-0546-5","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,10,1]]}}}