{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T17:45:26Z","timestamp":1775324726547,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11271308"],"award-info":[{"award-number":["11271308"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11301508"],"award-info":[{"award-number":["11301508"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Fujian Province of China","award":["2015J01346"],"award-info":[{"award-number":["2015J01346"]}]},{"name":"Natural Science Foundation of Fujian Province of China","award":["2016J05205"],"award-info":[{"award-number":["2016J05205"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["20720150109"],"award-info":[{"award-number":["20720150109"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Important Joint Research Project on Major Diseases of Xiamen City","award":["3502Z20149032"],"award-info":[{"award-number":["3502Z20149032"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s12880-016-0176-2","type":"journal-article","created":{"date-parts":[[2017,1,17]],"date-time":"2017-01-17T09:07:22Z","timestamp":1484644042000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity"],"prefix":"10.1186","volume":"17","author":[{"given":"Hong","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Xiaobo","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Zhengjian","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Yunsong","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Di","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jiyang","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Zhong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,17]]},"reference":[{"key":"176_CR1","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1002\/1522-2594(200101)45:1<29::AID-MRM1005>3.0.CO;2-Z","volume":"45","author":"S Peled","year":"2001","unstructured":"Peled S, Yeshurun Y. Superresolution in MRI: application to human white matter fiber tract visualization by diffusion tensor imaging. Magn Reson Med. 2001;45:29\u201335.","journal-title":"Magn Reson Med"},{"key":"176_CR2","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1016\/j.media.2012.05.003","volume":"16","author":"B Scherrer","year":"2012","unstructured":"Scherrer B, Gholipour A, Warfield SK. Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions. Med Image Anal. 2012;16:1465\u201376.","journal-title":"Med Image Anal"},{"key":"176_CR3","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1002\/mrm.24233","volume":"69","author":"DHJ Poot","year":"2013","unstructured":"Poot DHJ, Jeurissen B, Bastiaensen Y, Veraart J, Van Hecke W, Parizel PM, Sijbers J. Super-resolution for multislice diffusion tensor imaging. Magn Reson Med. 2013;69:103\u201313.","journal-title":"Magn Reson Med"},{"key":"176_CR4","first-page":"117","volume":"2879","author":"P Kornprobst","year":"2003","unstructured":"Kornprobst P, Peeters R, Nikolova M, Deriche R, Ng M, Van Hecke P. A superresolution framework for fMRI sequences and its impact on resulting activation maps. Med Image Comput Computering-Assisted Intervention (MICCAI\u201903) (Montreal, Canada). 2003;2879:117\u201325.","journal-title":"Med Image Comput Computering-Assisted Intervention (MICCAI\u201903) (Montreal, Canada)"},{"key":"176_CR5","doi-asserted-by":"crossref","first-page":"425891","DOI":"10.1155\/2010\/425891","volume":"2010","author":"JV Manj\u00f3n","year":"2010","unstructured":"Manj\u00f3n JV, Coup\u00e9 P, Buades A, Collins DL, Robles M. MRI Superresolution using self-similarity and image priors. Int J Biomed Imaging. 2010;2010:425891\u2013901.","journal-title":"Int J Biomed Imaging"},{"key":"176_CR6","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1186\/s12880-015-0065-0","volume":"15","author":"B Yang","year":"2015","unstructured":"Yang B, Yuan M, Ma Y, Zhang J, Zhan K. Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain. BMC Med Imaging. 2015;15:28.","journal-title":"BMC Med Imaging"},{"key":"176_CR7","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1016\/j.media.2013.09.007","volume":"18","author":"X Qu","year":"2014","unstructured":"Qu X, Hou Y, Lam F, Guo D, Zhong J, Chen Z. Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator. Med Image Anal. 2014;18:843\u201356.","journal-title":"Med Image Anal"},{"key":"176_CR8","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/s12880-015-0052-5","volume":"15","author":"A Wong","year":"2015","unstructured":"Wong A, Liu C, Wang X, Fieguth P, Bie H. Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements. BMC Med Imaging. 2015;15:10.","journal-title":"BMC Med Imaging"},{"key":"176_CR9","doi-asserted-by":"crossref","first-page":"5939","DOI":"10.1088\/0031-9155\/60\/15\/5939","volume":"60","author":"TT Wang","year":"2015","unstructured":"Wang TT, Cao L, Yang W, Feng QJ, Chen WF, Zhang Y. Adaptive patch-based POCS approach for super resolution reconstruction of 4D-CT lung data. Phys Med Biol. 2015;60:5939\u201354.","journal-title":"Phys Med Biol"},{"key":"176_CR10","doi-asserted-by":"crossref","first-page":"6005","DOI":"10.1088\/0031-9155\/59\/20\/6005","volume":"59","author":"HJ Ding","year":"2014","unstructured":"Ding HJ, Gao H, Zhao B, Cho HM, Molloi S. A high-resolution photon-counting breast CT system with tensor-framelet based iterative image reconstruction for radiation dose reduction. Phys Med Biol. 2014;59:6005\u201317.","journal-title":"Phys Med Biol"},{"key":"176_CR11","doi-asserted-by":"crossref","first-page":"5359","DOI":"10.1088\/0031-9155\/60\/14\/5359","volume":"60","author":"JH Huang","year":"2015","unstructured":"Huang JH, Guo L, Feng QJ, Chen WF, Feng YQ. Sparsity-promoting orthogonal dictionary updating for image reconstruction from highly undersampled magnetic resonance data. Phys Med Biol. 2015;60:5359\u201380.","journal-title":"Phys Med Biol"},{"key":"176_CR12","doi-asserted-by":"crossref","first-page":"4271","DOI":"10.1109\/TIP.2013.2271849","volume":"22","author":"Z Wei","year":"2013","unstructured":"Wei Z, Ma KK. Contrast-guided image interpolation. IEEE Trans Image Process. 2013;22:4271\u201385.","journal-title":"IEEE Trans Image Process"},{"key":"176_CR13","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1093\/comjnl\/bxm075","volume":"52","author":"H Greenspan","year":"2009","unstructured":"Greenspan H. Super-resolution in medical imaging. Comput J. 2009;52:43\u201363.","journal-title":"Comput J"},{"key":"176_CR14","unstructured":"Mark AB, Richard CS. MRI Basic Principles and Applications. Wiley-Liss 2003."},{"key":"176_CR15","doi-asserted-by":"crossref","unstructured":"Rousseau F. Brain hallucination. In Prceedings of the European Conference on Computer Vision (ECCV'08) (New York, USA). 2008; Part 1. p. 497\u2013508.","DOI":"10.1007\/978-3-540-88682-2_38"},{"key":"176_CR16","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1016\/j.media.2010.04.005","volume":"14","author":"F Rousseau","year":"2010","unstructured":"Rousseau F. A non-local approach for image super-resolution using intermodality priors. Med Image Anal. 2010;14:594\u2013605.","journal-title":"Med Image Anal"},{"key":"176_CR17","doi-asserted-by":"crossref","first-page":"1969","DOI":"10.1109\/TMI.2014.2329271","volume":"33","author":"K Jafari-Khouzani","year":"2014","unstructured":"Jafari-Khouzani K. MRI upsampling using feature-based nonlocal means approach. IEEE Trans Med Imag. 2014;33:1969\u201385.","journal-title":"IEEE Trans Med Imag"},{"key":"176_CR18","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/83.951537","volume":"10","author":"X Li","year":"2001","unstructured":"Li X, Orchard MT. New edge-directed interpolation. IEEE Trans Image Process. 2001;10:1521\u20137.","journal-title":"IEEE Trans Image Process"},{"key":"176_CR19","doi-asserted-by":"crossref","unstructured":"Timofte R, De Smet V, Van Gool L. Anchored neighborhood regression for fast example-based super-resolution. IEEE Int Conf Comput Vis (ICCV\u201913) (Sydney, Australia). 2013:1920\u20137.","DOI":"10.1109\/ICCV.2013.241"},{"key":"176_CR20","doi-asserted-by":"crossref","unstructured":"Yang CY, Yang MH. Fast direct super-resolution by simple functions. IEEE Int Conf Comput Vis (ICCV\u201913) (Sydney, Australia). 2013:561\u20138.","DOI":"10.1109\/ICCV.2013.75"},{"key":"176_CR21","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1111\/cgf.12544","volume":"34","author":"D Dai","year":"2015","unstructured":"Dai D, Timofte R, Van Gool L. Jointly optimized regressors for image super-resolution. Comput Graph Forum. 2015;34:95\u2013104.","journal-title":"Comput Graph Forum"},{"key":"176_CR22","first-page":"S425","volume":"5","author":"CA Cocosco","year":"1997","unstructured":"Cocosco CA, Kollokian V, Kwan RKS, Evans AC. BrainWeb: online interface to a 3D MRI simulated brain database. Neuroimage. 1997;5:S425.","journal-title":"Neuroimage"},{"key":"176_CR23","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13:600\u201312.","journal-title":"IEEE Trans Image Process"},{"key":"176_CR24","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.media.2008.02.004","volume":"12","author":"JV Manjo\u2019n","year":"2008","unstructured":"Manjo\u2019n JV, Caballero JC, Lull JJ, Mart\u0131\u2019 GG, Bonmat\u0131\u2019 LM, Robles M. MRI denoising using Non-local means. Med Image Anal. 2008;12:514\u201323.","journal-title":"Med Image Anal"},{"key":"176_CR25","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1002\/mrm.1910340618","volume":"34","author":"H Gudbjartsson","year":"1995","unstructured":"Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data. Magn Reson Med. 1995;34:910\u20134.","journal-title":"Magn Reson Med"},{"key":"176_CR26","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1109\/TMI.2010.2090538","volume":"30","author":"S Ravishankar","year":"2011","unstructured":"Ravishankar S, Bresler Y. MR image reconstruction from highly undersampled k-space data by dictionary learning. IEEE Trans Med Imaging. 2011;30:1028\u201341.","journal-title":"IEEE Trans Med Imaging"},{"key":"176_CR27","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1137\/141002293","volume":"8","author":"S Ravishankar","year":"2015","unstructured":"Ravishankar S, Bresler Y. Efficient blind compressed sensing using sparsifying transforms with convergence guarantees and application to magnetic resonance imaging. SIAM J Imaging Sci. 2015;8:2519\u201357.","journal-title":"SIAM J Imaging Sci"},{"key":"176_CR28","doi-asserted-by":"crossref","first-page":"2130","DOI":"10.1109\/TMI.2016.2550080","volume":"35","author":"Y Liu","year":"2016","unstructured":"Liu Y, Zhan Z, Cai JF, Guo D, Chen Z, Qu X. Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging. IEEE Trans Med Imaging. 2016;35:2130\u201340.","journal-title":"IEEE Trans Med Imaging"},{"key":"176_CR29","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1109\/TBME.2015.2503756","volume":"63","author":"Z Zhan","year":"2016","unstructured":"Zhan Z, Cai JF, Guo D, Liu Y, Chen Z, Qu X. Fast multiclass dictionaries learning with geometrical directions in MRI reconstruction. IEEE Trans Biomed Eng. 2016;63:1850\u201361.","journal-title":"IEEE Trans Biomed Eng"},{"key":"176_CR30","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1016\/j.mri.2012.02.019","volume":"30","author":"X Qu","year":"2012","unstructured":"Qu X, Guo D, Ning B, Hou Y, Lin Y, Cai S, Chen Z. Undersampled MRI reconstruction with patch-based directional wavelets. Magn Reson Imaging. 2012;30:964\u201377.","journal-title":"Magn Reson Imaging"},{"key":"176_CR31","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1016\/j.mri.2013.07.010","volume":"31","author":"B Ning","year":"2013","unstructured":"Ning B, Qu X, Guo D, Hu C, Chen Z. Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization. Magn Reson Imaging. 2013;31:1611\u201322.","journal-title":"Magn Reson Imaging"},{"key":"176_CR32","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.media.2015.05.012","volume":"27","author":"Z Lai","year":"2016","unstructured":"Lai Z, Qu X, Liu Y, Guo D, Ye J, Zhan Z, Chen Z. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform. Med Image Anal. 2016;27:93\u2013104.","journal-title":"Med Image Anal"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-016-0176-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T13:42:31Z","timestamp":1589722951000},"score":1,"resource":{"primary":{"URL":"http:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-016-0176-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,17]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["176"],"URL":"https:\/\/doi.org\/10.1186\/s12880-016-0176-2","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,17]]},"article-number":"6"}}