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The key point of the method is the formulation of the new matrix which forms a generalized permutation of the original mixing matrix. Since the lowest entropy is closely associated with the smooth degree of source images, blind image separation can be formulated to an entropy minimization problem by using the property that most of neighbor pixels are smooth. A new dataset can be obtained by multiplying the mixed matrix by the inverse of the new matrix. Thus, the search technique is used to searching for the lowest entropy values of the new data. Accordingly, the separation weight vector associated with the lowest entropy values can be obtained. Compared with the conventional independent component analysis (ICA), the original signals in the proposed algorithm are not required to be independent. Simulation results on MR images are employed to further show the advantages of the proposed method.<\/jats:p>","DOI":"10.1155\/2014\/726712","type":"journal-article","created":{"date-parts":[[2014,2,26]],"date-time":"2014-02-26T06:12:34Z","timestamp":1393395154000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Blind Separation Method in Magnetic Resonance Images"],"prefix":"10.1155","volume":"2014","author":[{"given":"Jianbin","family":"Gao","sequence":"first","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Key Laboratory of Integrated Electronic System, Ministry of Education, Chengdu 611731, China"},{"name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People\u2019s Hospital, Chengdu 610072, China"}]},{"given":"Qi","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Lixue","family":"Yin","sequence":"additional","affiliation":[{"name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People\u2019s Hospital, Chengdu 610072, China"}]},{"given":"Ji","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Li","family":"Du","sequence":"additional","affiliation":[{"name":"Southwest China Research Institute of Electronic Equipment, Chengdu 610036, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6551-9394","authenticated-orcid":true,"given":"Yunfeng","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"}]}],"member":"311","reference":[{"year":"2001","key":"1"},{"issue":"6","key":"2","first-page":"1004","volume":"7","year":"1995","journal-title":"Neural Computation"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1162\/0899766041336413"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/72.761722"},{"issue":"5","key":"5","first-page":"647","volume":"26","year":"2007","journal-title":"Chinese Journal of Biomedical Engineering"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.820672"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2002.800502"},{"year":"2002","key":"8"},{"issue":"8","key":"10","first-page":"2465","volume":"6","year":"2010","journal-title":"Journal of Computational Information Systems"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.09.006"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1978.4309999"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/S0003-2670(97)00638-7"},{"journal-title":"Advances in Neural Information Processing Systems","first-page":"145","year":"1996","key":"17"},{"volume-title":"Independent component analysis in financial data","year":"2000","key":"19"},{"issue":"5-6","key":"21","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1002\/(SICI)1097-0193(1998)6:5\/6<368::AID-HBM7>3.0.CO;2-E","volume":"6","year":"1998","journal-title":"Human Brain Mapping"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00026-5"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/726712.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/726712.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/726712.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T20:19:23Z","timestamp":1589228363000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2014\/726712\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":16,"alternative-id":["726712","726712"],"URL":"https:\/\/doi.org\/10.1155\/2014\/726712","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"type":"print","value":"1748-670X"},{"type":"electronic","value":"1748-6718"}],"subject":[],"published":{"date-parts":[[2014]]}}}