{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T05:51:49Z","timestamp":1717221109025},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,1,10]],"date-time":"2017-01-10T00:00:00Z","timestamp":1484006400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Visvesvaraya research fellowship, Department of Electronics and Information Tech., Ministry of Comm. and IT, Govt. of India"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Inf."],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s40708-016-0059-x","type":"journal-article","created":{"date-parts":[[2017,1,10]],"date-time":"2017-01-10T14:11:56Z","timestamp":1484057516000},"page":"65-83","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Optshrink LR\u00a0+\u00a0S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage"],"prefix":"10.1007","volume":"4","author":[{"given":"Priya","family":"Aggarwal","sequence":"first","affiliation":[]},{"given":"Parth","family":"Shrivastava","sequence":"additional","affiliation":[]},{"given":"Tanay","family":"Kabra","sequence":"additional","affiliation":[]},{"given":"Anubha","family":"Gupta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,10]]},"reference":[{"issue":"2","key":"59_CR1","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1016\/j.neuroimage.2012.01.049","volume":"62","author":"DA Feinberg","year":"2012","unstructured":"Feinberg DA, Yacoub E (2012) The rapid development of high speed, resolution and precision in fMRI. NeuroImage 62(2):720\u2013725. doi: 10.1016\/j.neuroimage.2012.01.049 20 years of fMRI20 years of fMRI","journal-title":"NeuroImage"},{"issue":"24","key":"59_CR2","doi-asserted-by":"crossref","first-page":"9868","DOI":"10.1073\/pnas.87.24.9868","volume":"87","author":"S Ogawa","year":"1990","unstructured":"Ogawa S, Lee TM, Kay AR, Tank DW (1990) Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 87(24):9868\u20139872 2124706[pmid]","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"59_CR3","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1006\/nimg.1995.1023","volume":"2","author":"K Worsley","year":"1995","unstructured":"Worsley K, Friston K (1995) Analysis of fMRI time-series revisited\u2014again. NeuroImage 2(3):173\u2013181. doi: 10.1006\/nimg.1995.1023","journal-title":"NeuroImage"},{"issue":"4","key":"59_CR4","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1002\/mrm.1086","volume":"45","author":"LR Frank","year":"2001","unstructured":"Frank LR, Buxton RB, Wong EC (2001) Estimation of respiration-induced noise fluctuations from undersampled multislice fMRI data. Magn Reson Med 45(4):635\u2013644. doi: 10.1002\/mrm.1086","journal-title":"Magn Reson Med"},{"issue":"5","key":"59_CR5","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S","volume":"42","author":"KP Pruessmann","year":"1999","unstructured":"Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P et al (1999) Sense: sensitivity encoding for fast MRI. Magn Reson Med 42(5):952\u2013962","journal-title":"Magn Reson Med"},{"issue":"5","key":"59_CR6","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1002\/mrm.10611","volume":"50","author":"J Tsao","year":"2003","unstructured":"Tsao J, Boesiger P, Pruessmann KP (2003) k\u2013t blast and k\u2013t sense: dynamic MRI with high frame rate exploiting spatiotemporal correlations. Magn Reson Med 50(5):1031\u20131042","journal-title":"Magn Reson Med"},{"issue":"6","key":"59_CR7","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1002\/mrm.10171","volume":"47","author":"MA Griswold","year":"2002","unstructured":"Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A (2002) Generalized autocalibrating partially parallel acquisitions (grappa). Magn Reson Med 47(6):1202\u20131210","journal-title":"Magn Reson Med"},{"issue":"5","key":"59_CR8","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1002\/mrm.20641","volume":"54","author":"F Huang","year":"2005","unstructured":"Huang F, Akao J, Vijayakumar S, Duensing GR, Limkeman M (2005) k\u2013t grappa: a k-space implementation for dynamic MRI with high reduction factor. Magn Reson Med 54(5):1172\u20131184","journal-title":"Magn Reson Med"},{"issue":"4","key":"59_CR9","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1002\/mrm.1910380414","volume":"38","author":"DK Sodickson","year":"1997","unstructured":"Sodickson DK, Manning WJ (1997) Simultaneous acquisition of spatial harmonics (smash): fast imaging with radiofrequency coil arrays. Magn Reson Med 38(4):591\u2013603","journal-title":"Magn Reson Med"},{"key":"59_CR10","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1002\/mrm.26079","volume":"76","author":"M Chiew","year":"2016","unstructured":"Chiew M, Graedel NN, McNab JA, Smith SM, Miller KL (2016) Accelerating functional MRI using fixed-rank approximations and radial-cartesian sampling. Magn Reson Med 76:1825\u20131836","journal-title":"Magn Reson Med"},{"issue":"2","key":"59_CR11","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1002\/mrm.25395","volume":"74","author":"M Chiew","year":"2015","unstructured":"Chiew M, Smith SM, Koopmans PJ, Graedel NN, Blumensath T, Miller KL (2015) k\u2013t faster: acceleration of functional MRI data acquisition using low rank constraints. Magn Reson Med 74(2):353\u2013364. doi: 10.1002\/mrm.25395","journal-title":"Magn Reson Med"},{"key":"59_CR12","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1002\/mrm.25854","volume":"76","author":"Z Fang","year":"2015","unstructured":"Fang Z, Van Le N, Choy M, Lee JH (2015) High spatial resolution compressed sensing (hsparse) functional MRI. Magn Reson Med 76:440\u2013455","journal-title":"Magn Reson Med"},{"issue":"6","key":"59_CR13","doi-asserted-by":"publisher","first-page":"1634","DOI":"10.1002\/mrm.24621","volume":"70","author":"DJ Holland","year":"2013","unstructured":"Holland DJ, Liu C, Song X, Mazerolle EL, Stevens MT, Sederman AJ, Gladden LF, D\u2019Arcy RCN, Bowen CV, Beyea SD (2013) Compressed sensing reconstruction improves sensitivity of variable density spiral fMRI. Magn Reson Med 70(6):1634\u20131643. doi: 10.1002\/mrm.24621","journal-title":"Magn Reson Med"},{"key":"59_CR14","doi-asserted-by":"publisher","unstructured":"Lu W, Li T, Atkinson I, Vaswani N (2011) Modified-cs-residual for recursive reconstruction of highly undersampled functional MRI sequences. In: Image Processing (ICIP), 2011 18th IEEE International Conference on, pp 2689\u20132692. doi: 10.1109\/ICIP.2011.6116222","DOI":"10.1109\/ICIP.2011.6116222"},{"key":"59_CR15","doi-asserted-by":"publisher","unstructured":"Singh V, Tewfik A, Ress D (2015) Under-sampled functional MRI using low-rank plus sparse matrix decomposition. In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, pp 897\u2013901. doi: 10.1109\/ICASSP.2015.7178099","DOI":"10.1109\/ICASSP.2015.7178099"},{"issue":"1\u20134","key":"59_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s40708-014-0002-y","volume":"1","author":"S Yan","year":"2014","unstructured":"Yan S, Nie L, Wu C, Guo Y (2014) Linear dynamic sparse modelling for functional MR imaging. Brain Inform 1(1\u20134):11\u201318. doi: 10.1007\/s40708-014-0002-y","journal-title":"Brain Inform"},{"key":"59_CR17","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.neuroimage.2014.01.045","volume":"92","author":"X Zong","year":"2014","unstructured":"Zong X, Lee J, Poplawsky AJ, Kim SG, Ye JC (2014) Compressed sensing fMRI using gradient-recalled echo and EPI sequences. NeuroImage 92:312\u2013321","journal-title":"NeuroImage"},{"issue":"2","key":"59_CR18","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"E Candes","year":"2006","unstructured":"Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inform Theory 52(2):489\u2013509. doi: 10.1109\/TIT.2005.862083","journal-title":"IEEE Trans Inform Theory"},{"issue":"Part A","key":"59_CR19","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.neucom.2014.08.073","volume":"150","author":"M Afonso","year":"2015","unstructured":"Afonso M, Sanches JM (2015) Image reconstruction under multiplicative speckle noise using total variation. Neurocomputing 150(Part A):200\u2013213","journal-title":"Neurocomputing"},{"issue":"Part 3","key":"59_CR20","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1016\/j.neucom.2014.06.082","volume":"151","author":"Y Shen","year":"2015","unstructured":"Shen Y, Li J, Zhu Z, Cao W, Song Y (2015) Image reconstruction algorithm from compressed sensing measurements by dictionary learning. Neurocomputing 151(Part 3):1153\u20131162","journal-title":"Neurocomputing"},{"key":"59_CR21","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.neucom.2016.03.013","volume":"200","author":"N Eslahi","year":"2016","unstructured":"Eslahi N, Aghagolzadeh A, Andargoli SMH (2016) Image\/video compressive sensing recovery using joint adaptive sparsity measure. Neurocomputing 200:88\u2013109","journal-title":"Neurocomputing"},{"issue":"Part A","key":"59_CR22","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.neucom.2015.07.110","volume":"174","author":"X Gao","year":"2016","unstructured":"Gao X, Jiang F, Liu S, Che W, Fan X, Zhao D (2016) Hierarchical frame based spatial temporal recovery for video compressive sensing coding. Neurocomputing 174(Part A):404\u2013412","journal-title":"Neurocomputing"},{"issue":"3","key":"59_CR23","doi-asserted-by":"publisher","first-page":"11:1","DOI":"10.1145\/1970392.1970395","volume":"58","author":"EJ Cand\u00e8s","year":"2011","unstructured":"Cand\u00e8s EJ, Li X, Ma Y, Wright J (2011) Robust principal component analysis? J ACM 58(3):11:1\u201311:37. doi: 10.1145\/1970392.1970395","journal-title":"J ACM"},{"key":"59_CR24","doi-asserted-by":"crossref","unstructured":"Chandrasekaran V, Sanghavi S, Parrilo PA, Willsky AS (2010) Rank-sparsity incoherence for matrix decomposition. Technical report","DOI":"10.1137\/090761793"},{"key":"59_CR25","doi-asserted-by":"publisher","unstructured":"Moore B, Nadakuditi R, Fessler J (2014) Improved robust PCA using low-rank denoising with optimal singular value shrinkage. In: Statistical Signal Processing (SSP), 2014 IEEE Workshop on, pp 13\u201316. doi: 10.1109\/SSP.2014.6884563","DOI":"10.1109\/SSP.2014.6884563"},{"key":"59_CR26","doi-asserted-by":"publisher","DOI":"10.1002\/0470013192.bsa501","volume-title":"Principal component analysis","author":"I Jolliffe","year":"2005","unstructured":"Jolliffe I (2005) Principal component analysis. Wiley, Hoboken. doi: 10.1002\/0470013192.bsa501"},{"issue":"2","key":"59_CR27","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/0165-1684(91)90058-Q","volume":"25","author":"LL Scharf","year":"1991","unstructured":"Scharf LL (1991) The SVD and reduced rank signal processing. Signal Process 25(2):113\u2013133. doi: 10.1016\/0165-1684(91)90058-Q","journal-title":"Signal Process"},{"issue":"4","key":"59_CR28","doi-asserted-by":"publisher","first-page":"1716","DOI":"10.1109\/78.212753","volume":"41","author":"D Tufts","year":"1993","unstructured":"Tufts D, Shah A (1993) Estimation of a signal waveform from noisy data using low-rank approximation to a data matrix. IEEE Trans Signal Process 41(4):1716\u20131721. doi: 10.1109\/78.212753","journal-title":"IEEE Trans Signal Process"},{"issue":"1","key":"59_CR29","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1137\/S0097539704442696","volume":"36","author":"P Drineas","year":"2006","unstructured":"Drineas P, Kannan R, Mahoney MW (2006) Fast monte carlo algorithms for matrices II: computing a low-rank approximation to a matrix. SIAM J Comput 36(1):158\u2013183. doi: 10.1137\/S0097539704442696","journal-title":"SIAM J Comput"},{"issue":"2","key":"59_CR30","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1109\/TAC.1980.1102314","volume":"25","author":"V Klema","year":"1980","unstructured":"Klema V, Laub A (1980) The singular value decomposition: its computation and some applications. IEEE Trans Autom Control 25(2):164\u2013176. doi: 10.1109\/TAC.1980.1102314","journal-title":"IEEE Trans Autom Control"},{"issue":"5","key":"59_CR31","doi-asserted-by":"publisher","first-page":"3002","DOI":"10.1109\/TIT.2014.2311661","volume":"60","author":"R Nadakuditi","year":"2014","unstructured":"Nadakuditi R (2014) Optshrink: an algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage. IEEE Trans Inf Theory 60(5):3002\u20133018. doi: 10.1109\/TIT.2014.2311661","journal-title":"IEEE Trans Inf Theory"},{"key":"59_CR32","doi-asserted-by":"publisher","unstructured":"Liang ZP (2007) Spatiotemporal imaging with partially separable functions. In: Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on, pp 988\u2013991. doi: 10.1109\/ISBI.2007.357020","DOI":"10.1109\/ISBI.2007.357020"},{"issue":"12","key":"59_CR33","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/S0304-3975(97)00115-1","volume":"209","author":"E Amaldi","year":"1998","unstructured":"Amaldi E, Kann V (1998) On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theoret Comput Sci 209(12):237\u2013260. doi: 10.1016\/S0304-3975(97)00115-1","journal-title":"Theoret Comput Sci"},{"issue":"4","key":"59_CR34","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D Donoho","year":"2006","unstructured":"Donoho D (2006) Compressed sensing. IEEE Trans Inform Theory 52(4):1289\u20131306. doi: 10.1109\/TIT.2006.871582","journal-title":"IEEE Trans Inform Theory"},{"issue":"6","key":"59_CR35","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s10208-009-9045-5","volume":"9","author":"EJ Candes","year":"2009","unstructured":"Candes EJ, Recht B (2009) Exact matrix completion via convex optimization. Found Comput Math 9(6):717\u2013772. doi: 10.1007\/s10208-009-9045-5","journal-title":"Found Comput Math"},{"issue":"4","key":"59_CR36","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1137\/080738970","volume":"20","author":"JF Cai","year":"2010","unstructured":"Cai JF, Cand\u00e8s EJ, Shen Z (2010) A singular value thresholding algorithm for matrix completion. SIAM J Optim 20(4):1956\u20131982. doi: 10.1137\/080738970","journal-title":"SIAM J Optim"},{"key":"59_CR37","doi-asserted-by":"publisher","unstructured":"Gu S, Zhang L, Zuo W, Feng X (2014) Weighted nuclear norm minimization with application to image denoising. In: Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pp 2862\u20132869. doi: 10.1109\/CVPR.2014.366","DOI":"10.1109\/CVPR.2014.366"},{"issue":"16","key":"59_CR38","doi-asserted-by":"publisher","first-page":"5553","DOI":"10.1523\/JNEUROSCI.5511-11.2012","volume":"32","author":"JM Moran","year":"2012","unstructured":"Moran JM, Jolly E, Mitchell JP (2012) Social-cognitive deficits in normal aging. J Neurosci 32(16):5553\u20135561. doi: 10.1523\/JNEUROSCI.5511-11.2012","journal-title":"J Neurosci"},{"issue":"1","key":"59_CR39","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1002\/jmri.21987","volume":"31","author":"S Zhang","year":"2010","unstructured":"Zhang S, Block KT, Frahm J (2010) Magnetic resonance imaging in real time: advances using radial flash. J Magn Reson Imaging 31(1):101\u2013109. doi: 10.1002\/jmri.21987","journal-title":"J Magn Reson Imaging"},{"issue":"3","key":"59_CR40","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1615\/CritRevBiomedEng.2014008058","volume":"41","author":"S Geethanath","year":"2013","unstructured":"Geethanath S, Reddy R, Konar AS, Imam S, Sundaresan R, Venkatesan R (2013) Compressed sensing MRI: a review. Crit Rev Biomed Eng 41(3):183\u2013204","journal-title":"Crit Rev Biomed Eng"},{"issue":"5","key":"59_CR41","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1109\/TMI.2010.2100850","volume":"30","author":"SG Lingala","year":"2011","unstructured":"Lingala SG, Hu Y, DiBella E, Jacob M (2011) Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR. IEEE Trans Med Imaging 30(5):1042\u20131054","journal-title":"IEEE Trans Med Imaging"},{"key":"59_CR42","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26390","author":"NN Graedel","year":"2016","unstructured":"Graedel NN, McNab JA, Chiew M, Miller KL (2016) Motion correction for functional MRI with three-dimensional hybrid radial-cartesian EPI. Magn Reson Med. doi: 10.1002\/mrm.26390","journal-title":"Magn Reson Med"},{"issue":"4","key":"59_CR43","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1137\/1034115","volume":"34","author":"PC Hansen","year":"1992","unstructured":"Hansen PC (1992) Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev 34(4):561\u2013580. doi: 10.1137\/1034115","journal-title":"SIAM Rev"},{"key":"59_CR44","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1190\/1.2750716","volume":"72","author":"T Lin","year":"2007","unstructured":"Lin T, Herrmann F (2007) Compressed extrapolation. Geophysics 72:77\u201393","journal-title":"Geophysics"},{"issue":"4","key":"59_CR45","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1214\/09-STS282","volume":"23","author":"MA Lindquist","year":"2008","unstructured":"Lindquist MA (2008) The statistical analysis of fMRI data. Stat Sci 23(4):439\u2013464. doi: 10.1214\/09-STS282","journal-title":"Stat Sci"},{"key":"59_CR46","volume-title":"Statistical parametric mapping: the analysis of functional brain images","author":"K Friston","year":"2006","unstructured":"Friston K, Ashburner J, Kiebel S, Nichols T, Penny WE (2006) Statistical parametric mapping: the analysis of functional brain images. Academic Press, London"}],"container-title":["Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40708-016-0059-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40708-016-0059-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40708-016-0059-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T10:27:17Z","timestamp":1568716037000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40708-016-0059-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,10]]},"references-count":46,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["59"],"URL":"https:\/\/doi.org\/10.1007\/s40708-016-0059-x","relation":{},"ISSN":["2198-4018","2198-4026"],"issn-type":[{"value":"2198-4018","type":"print"},{"value":"2198-4026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,10]]}}}