메뉴 건너뛰기




Volumn 2, Issue 2, 2006, Pages 247-260

A review of wavelet denoising in MRI and ultrasound brain imaging

Author keywords

False discovery rate control; Image denoising; Magnetic resonance imaging; Statistical parametric mapping; Ultrasound; Wavelets

Indexed keywords

BRAIN TISSUE; CLASSIFICATION; CLINICAL RESEARCH; ECHOENCEPHALOGRAPHY; ENCEPHALOMALACIA; FILTRATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HYPOTHALAMUS PERIVENTRICULAR NUCLEUS; IMAGE ANALYSIS; IMAGE PROCESSING; NEUROIMAGING; NOISE REDUCTION; NORMAL DISTRIBUTION; PHYSICIAN; PRIORITY JOURNAL; RELIABILITY; REVIEW; STATISTICAL MODEL;

EID: 33745855505     PISSN: 15734056     EISSN: None     Source Type: Journal    
DOI: 10.2174/157340506776930665     Document Type: Review
Times cited : (104)

References (82)
  • 4
    • 0028546845 scopus 로고
    • Wavelet transform domain filters: A spatially selective noise filtration technique
    • Xu Y, Weaver JB, Healy DM, Lu J. Wavelet transform domain filters: a spatially selective noise filtration technique. IEEE Trans Image Proc 1994; 3:747-758.
    • (1994) IEEE Trans Image Proc , vol.3 , pp. 747-758
    • Xu, Y.1    Weaver, J.B.2    Healy, D.M.3    Lu, J.4
  • 5
    • 0030127507 scopus 로고    scopus 로고
    • A review of wavelets in biomedical applications
    • Unser M, Aldroubi A. A review of wavelets in biomedical applications. Proc of the IEEE 1996; 84: 626-634.
    • (1996) Proc of the IEEE , vol.84 , pp. 626-634
    • Unser, M.1    Aldroubi, A.2
  • 8
    • 0037307515 scopus 로고    scopus 로고
    • Single-trial event-related potentials with wavelet denoising
    • Quiroga RQ, Garcia H. Single-trial event-related potentials with wavelet denoising. Clinical Neurophysiology 2003; 114: 376-390.
    • (2003) Clinical Neurophysiology , vol.114 , pp. 376-390
    • Quiroga, R.Q.1    Garcia, H.2
  • 9
    • 0035140147 scopus 로고    scopus 로고
    • Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains
    • Bullmore ET, Long C, Suckling J, et al. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains. Human Brain Mapping 2001; 12: 61-78.
    • (2001) Human Brain Mapping , vol.12 , pp. 61-78
    • Bullmore, E.T.1    Long, C.2    Suckling, J.3
  • 10
    • 0035413315 scopus 로고    scopus 로고
    • Novel Bayesian multiscale method for speckle removal in medical ultrasound images
    • Achim A, Bezerianos A, Tsakalides P. Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Trans Medical Imaging 2001; 20: 772-783.
    • (2001) IEEE Trans Medical Imaging , vol.20 , pp. 772-783
    • Achim, A.1    Bezerianos, A.2    Tsakalides, P.3
  • 11
    • 0141857195 scopus 로고    scopus 로고
    • Noise reduction for magnetic resonance images via adaptive multiscale products thresholding
    • Bao P, Zhang L. Noise reduction for magnetic resonance images via adaptive multiscale products thresholding. IEEE Trans Med Imaging 2003; 22: 1089-1099.
    • (2003) IEEE Trans Med Imaging , vol.22 , pp. 1089-1099
    • Bao, P.1    Zhang, L.2
  • 13
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • Donoho DL: De-noising by soft-thresholding. IEEE Trans Inform Theory 1995; 41: 613-627.
    • (1995) IEEE Trans Inform Theory , vol.41 , pp. 613-627
    • Donoho, D.L.1
  • 16
    • 0002001578 scopus 로고
    • Translation-invariant denoising
    • Antoniadis A, Oppenheim G, Ed, Lecture Notes in Statistics. Springer
    • Coifman RR, Donoho DL. Translation-invariant denoising. In: Antoniadis A, Oppenheim G, Ed, Wavelet and Statistics. Lecture Notes in Statistics. Springer 1995; 125-150.
    • (1995) Wavelet and Statistics , pp. 125-150
    • Coifman, R.R.1    Donoho, D.L.2
  • 17
    • 0026235175 scopus 로고
    • Filtering MR images in the wavelet transform domain
    • Weaver DHJ, Xu Y, Driscoll J. Filtering MR images in the wavelet transform domain. Magn Reson Med 1991; 21: 288-295.
    • (1991) Magn Reson Med , vol.21 , pp. 288-295
    • Weaver, D.H.J.1    Xu, Y.2    Driscoll, J.3
  • 19
    • 0001682758 scopus 로고    scopus 로고
    • Multiple shrinkage and subset selection in wavelets
    • Clyde M, Parmigiani G, Vidakovic B. Multiple shrinkage and subset selection in wavelets. Biometrika 1998; 85: 391-401.
    • (1998) Biometrika , vol.85 , pp. 391-401
    • Clyde, M.1    Parmigiani, G.2    Vidakovic, B.3
  • 20
    • 0001256396 scopus 로고    scopus 로고
    • Wavelet-based nonparametric Bayes methods
    • Dey DD, Müller P, Sinha D, Ed, Lecture Notes in Statistics, Springer Verlag, New York
    • Vidakovic B. Wavelet-based nonparametric Bayes methods. In: Dey DD, Müller P, Sinha D, Ed, Practical Nonparametric and Semiparametric Bayesian Statistics. Lecture Notes in Statistics, Springer Verlag, New York 1998; 133: 133-155.
    • (1998) Practical Nonparametric and Semiparametric Bayesian Statistics , vol.133 , pp. 133-155
    • Vidakovic, B.1
  • 22
    • 0032315780 scopus 로고    scopus 로고
    • Spatially adaptive wavelet thresholding with context modeling for image denoising
    • Chicago, IL, Oct
    • Chang SG, Yu B, Vetterli M. Spatially adaptive wavelet thresholding with context modeling for image denoising. In: Proc. IEEE Internat. Conf on Image Proc., Chicago, IL, Oct. 1998.
    • (1998) Proc. IEEE Internat. Conf on Image Proc.
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 23
    • 0034258869 scopus 로고    scopus 로고
    • Adaptive wavelet thresholding for image denoising and compression
    • Chang SG, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Proc 2000; 9: 1532-1546.
    • (2000) IEEE Trans Image Proc , vol.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 24
    • 0036844073 scopus 로고    scopus 로고
    • Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
    • Şendur L, Selesnick IW. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. IEEE Trans Signal Proc 2002; 50: 2744-2756.
    • (2002) IEEE Trans Signal Proc , vol.50 , pp. 2744-2756
    • Şendur, L.1    Selesnick, I.W.2
  • 25
    • 0036959297 scopus 로고    scopus 로고
    • Bivariate shrinkage with local variance estimation
    • Şendur L, Selesnick IW. Bivariate shrinkage with local variance estimation. IEEE Signal Proc Lett 2002; 9: 438-441.
    • (2002) IEEE Signal Proc Lett , vol.9 , pp. 438-441
    • Şendur, L.1    Selesnick, I.W.2
  • 26
    • 0038718950 scopus 로고    scopus 로고
    • Bayes factors for edge detection from wavelet product spaces authors
    • Murtagh FD, Starck JL. Bayes factors for edge detection from wavelet product spaces authors. Optical Engineering 2003; 42: 1375-1382.
    • (2003) Optical Engineering , vol.42 , pp. 1375-1382
    • Murtagh, F.D.1    Starck, J.L.2
  • 28
    • 0032662774 scopus 로고    scopus 로고
    • Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors
    • Moulin P, Liu J. Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors. IEEE Trans Inform Theory 1999; 45: 909-919.
    • (1999) IEEE Trans Inform Theory , vol.45 , pp. 909-919
    • Moulin, P.1    Liu, J.2
  • 29
    • 0342647438 scopus 로고    scopus 로고
    • Low-complexity image denoising based on statistical modeling of wavelet coefficients
    • Mihçak MK, Kozintsev I, Ramchandran K, Moulin P. Low-complexity image denoising based on statistical modeling of wavelet coefficients. IEEE Signal Proc Lett 1999; 6: 300-303.
    • (1999) IEEE Signal Proc Lett , vol.6 , pp. 300-303
    • Mihçak, M.K.1    Kozintsev, I.2    Ramchandran, K.3    Moulin, P.4
  • 30
    • 0034445743 scopus 로고    scopus 로고
    • Spatially adaptive denoising under overcomplete expansion
    • Vancouver, Canada
    • Li X, Orchard M. Spatially adaptive denoising under overcomplete expansion. In: Proc. IEEE Internat. Conf on Image Proc, Vancouver, Canada 2000.
    • (2000) Proc. IEEE Internat. Conf on Image Proc
    • Li, X.1    Orchard, M.2
  • 32
    • 0031117537 scopus 로고    scopus 로고
    • Wavelet-based image denoising using a Markov random field a priori model
    • Malfait M, Roose D. Wavelet-based image denoising using a Markov random field a priori model. IEEE Trans Image processing 1997; 6: 549-565.
    • (1997) IEEE Trans Image Processing , vol.6 , pp. 549-565
    • Malfait, M.1    Roose, D.2
  • 33
    • 1542573394 scopus 로고    scopus 로고
    • Empirical Bayes approach to improve wavelet thresholding for image noise reduction
    • Jansen M, Bultheel A. Empirical Bayes approach to improve wavelet thresholding for image noise reduction. J Amer Stat Assoc 2001; 96: 629-639.
    • (2001) J Amer Stat Assoc , vol.96 , pp. 629-639
    • Jansen, M.1    Bultheel, A.2
  • 34
    • 0036563492 scopus 로고    scopus 로고
    • A joint inter- and intrascale statistical model for wavelet based Bayesian image denoising
    • Pižurica A, Philips W, Lemahieu I, Acheroy M. A joint inter- and intrascale statistical model for wavelet based Bayesian image denoising. IEEE Trans Image Proc 2002; 11: 545-557.
    • (2002) IEEE Trans Image Proc , vol.11 , pp. 545-557
    • Pižurica, A.1    Philips, W.2    Lemahieu, I.3    Acheroy, M.4
  • 35
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet-based statistical signal processing using hidden Markov models
    • Crouse MS, Nowak RD, Baraniuk RG. Wavelet-based statistical signal processing using hidden Markov models. IEEE Trans Signal Proc 1998; 46: 886-902.
    • (1998) IEEE Trans Signal Proc , vol.46 , pp. 886-902
    • Crouse, M.S.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 37
    • 0035341182 scopus 로고    scopus 로고
    • Image denoising using local contextual hidden Markov model in the wavelet domain
    • Fan G, Xia XG. Image denoising using local contextual hidden Markov model in the wavelet domain. IEEE Signal Proc Lett 2001; 8:125-128.
    • (2001) IEEE Signal Proc Lett , vol.8 , pp. 125-128
    • Fan, G.1    Xia, X.G.2
  • 38
    • 0001539879 scopus 로고
    • Some fundamental properties of speckle
    • Goodman JW. Some fundamental properties of speckle. J Opt Soc Am 1976; 66: 1145-1150.
    • (1976) J Opt Soc Am , vol.66 , pp. 1145-1150
    • Goodman, J.W.1
  • 40
    • 0018998148 scopus 로고
    • Digital image enhancement and noise filtering by use of local statistics
    • Lee JS. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. Pattern Anal and Machine Intel 1980; 2: 165-168.
    • (1980) IEEE Trans. Pattern Anal and Machine Intel , vol.2 , pp. 165-168
    • Lee, J.S.1
  • 44
    • 84883422110 scopus 로고
    • Geometric filter for speckle reduction
    • Crimmins TR. Geometric filter for speckle reduction. Appl Optics 1985; 24: 1438-1443.
    • (1985) Appl Optics , vol.24 , pp. 1438-1443
    • Crimmins, T.R.1
  • 45
    • 0005455695 scopus 로고    scopus 로고
    • Speckle filtering of SAR images - A comparative study between complex-wavelet-based and standard filters
    • Conference Wavelet Applications in Signal and Image Processing V, San Diego
    • Gagnon L, Jouan A. Speckle filtering of SAR images - a comparative study between complex-wavelet-based and standard filters. In: Proc. SPIE, no. 3169, conference Wavelet Applications in Signal and Image Processing V, San Diego 1997.
    • (1997) Proc. SPIE , Issue.3169
    • Gagnon, L.1    Jouan, A.2
  • 47
    • 0029746547 scopus 로고    scopus 로고
    • Speckle noise reduction of airborne SAR images with symmetric Daubechies wavelets
    • Conference Signal and Data Processing of Small Targets, Orlando
    • Gagnon L, Smaili FD. Speckle noise reduction of airborne SAR images with symmetric Daubechies wavelets. In: Proc. SPIE, no. 2759, conference Signal and Data Processing of Small Targets, Orlando 1996.
    • (1996) Proc. SPIE , Issue.2759
    • Gagnon, L.1    Smaili, F.D.2
  • 50
    • 0019851299 scopus 로고
    • Ultrasonic characterization of abdominal tissues via digital analysis of backscattered waveforms
    • Sommer FG, Joynt LF, Carroll BA, Macowski A. Ultrasonic characterization of abdominal tissues via digital analysis of backscattered waveforms. Radiology 1981; 141: 811-817.
    • (1981) Radiology , vol.141 , pp. 811-817
    • Sommer, F.G.1    Joynt, L.F.2    Carroll, B.A.3    Macowski, A.4
  • 52
    • 0001078192 scopus 로고
    • Simultaneous optimum detection and estimation of signals in noise
    • Middleton D, Esposito R. Simultaneous optimum detection and estimation of signals in noise. IEEE Trans Inform Theory 1968; 14: 434-443.
    • (1968) IEEE Trans Inform Theory , vol.14 , pp. 434-443
    • Middleton, D.1    Esposito, R.2
  • 53
    • 0031110872 scopus 로고    scopus 로고
    • Review of cerebral palsy
    • Davis D. Review of cerebral palsy. Neonatal Network 1997; 16: 7-12.
    • (1997) Neonatal Network , vol.16 , pp. 7-12
    • Davis, D.1
  • 54
    • 0003397624 scopus 로고
    • Brain damage in the preterm infant
    • Mac Keith Press, London
    • Paneth N, Nudelli R, Kazam E, Monte W. Brain damage in the preterm infant. Mac Keith Press, London 1994.
    • (1994)
    • Paneth, N.1    Nudelli, R.2    Kazam, E.3    Monte, W.4
  • 55
    • 0028220424 scopus 로고
    • Cerebral palsy of cystic periventricular leukomalacia in low-birth-weight infants
    • Fujimoto S, Yamaguchi N, Togari H, Wada Y, Yokochi K. Cerebral palsy of cystic periventricular leukomalacia in low-birth-weight infants. Acta Paediatr 1994; 83: 397-401.
    • (1994) Acta Paediatr , vol.83 , pp. 397-401
    • Fujimoto, S.1    Yamaguchi, N.2    Togari, H.3    Wada, Y.4    Yokochi, K.5
  • 56
    • 0025344174 scopus 로고
    • Neurosonographic features of periventricular echodensities associated with cerebral palsy in the preterm infant
    • Pidcock FS, Graziani LJ, Stanley C, Michell DG, Merton D. Neurosonographic features of periventricular echodensities associated with cerebral palsy in the preterm infant. Journal of Pediatrics 1990; 116: 417-422.
    • (1990) Journal of Pediatrics , vol.116 , pp. 417-422
    • Pidcock, F.S.1    Graziani, L.J.2    Stanley, C.3    Michell, D.G.4    Merton, D.5
  • 57
    • 33745825173 scopus 로고    scopus 로고
    • Chorioamnionitis and flaring
    • Sophia Children's Hospital, Rotterdam, Holland
    • Peelen A, Govaert P. In: Chorioamnionitis and flaring. Sophia Children's Hospital, Rotterdam, Holland 2002.
    • (2002)
    • Peelen, A.1    Govaert, P.2
  • 60
    • 33745871191 scopus 로고    scopus 로고
    • Segmenting leukomalacia using textural information and mathematical morphology
    • Veldhoven, The Netherlands
    • Vansteenkiste E, Stippel G, Govaert P, Ledda A, Philips W. Segmenting leukomalacia using textural information and mathematical morphology. In: Proc of STW/PRoRISC, Veldhoven, The Netherlands 2003; 441-446.
    • (2003) Proc of STW/PRoRISC , pp. 441-446
    • Vansteenkiste, E.1    Stippel, G.2    Govaert, P.3    Ledda, A.4    Philips, W.5
  • 61
    • 33745825562 scopus 로고    scopus 로고
    • Improved segmentation of ultrasound brain tissue incorporating expert evaluation
    • Technical Report, Ghent University Sep
    • Vansteenkiste E, Pižurica A, Ledda A, Philips W. Improved segmentation of ultrasound brain tissue incorporating expert evaluation. Technical Report, Ghent University Sep 2005.
    • (2005)
    • Vansteenkiste, E.1    Pižurica, A.2    Ledda, A.3    Philips, W.4
  • 62
    • 0028839871 scopus 로고
    • The Rician distribution of noisy MRI data
    • Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data. Magn Reson Med 1995; 34: 910-914.
    • (1995) Magn Reson Med , vol.34 , pp. 910-914
    • Gudbjartsson, H.1    Patz, S.2
  • 63
    • 0030229278 scopus 로고    scopus 로고
    • Noise in MRI
    • Macovski A. Noise in MRI. Magn Reson Med 1996; 36: 494-497
    • (1996) Magn Reson Med , vol.36 , pp. 494-497
    • Macovski, A.1
  • 64
    • 0037964165 scopus 로고
    • Noise and filtration in magnetic resonance imaging
    • McVeigh ER, Henkelman RM, Bronskill MJ. Noise and filtration in magnetic resonance imaging. Med Phys 1985; 3: 604-618.
    • (1985) Med Phys , vol.3 , pp. 604-618
    • McVeigh, E.R.1    Henkelman, R.M.2    Bronskill, M.J.3
  • 65
    • 0033322132 scopus 로고    scopus 로고
    • Wavelet-based Rician noise removal for magnetic resonance imaging
    • Nowak, RD. Wavelet-based Rician noise removal for magnetic resonance imaging. IEEE Trans. Image Proc 1999; 8: 1408-1419.
    • (1999) IEEE Trans. Image Proc , vol.8 , pp. 1408-1419
    • Nowak, R.D.1
  • 70
    • 0030063642 scopus 로고    scopus 로고
    • Statistical methods of estimation and inference for functional MR image analysis
    • Bullmore ET, Brammer MJ, Williams SCR, et al. Statistical methods of estimation and inference for functional MR image analysis. Magnetic Resonance in Medicine 1996; 35: 261-277.
    • (1996) Magnetic Resonance in Medicine , vol.35 , pp. 261-277
    • Bullmore, E.T.1    Brammer, M.J.2    Williams, S.C.R.3
  • 71
    • 0036328554 scopus 로고    scopus 로고
    • Wavelet-generalised least squares: A new blu estimator of regression models with long-memory errors
    • Fadili J, Bullmore ET. Wavelet-generalised least squares: a new blu estimator of regression models with long-memory errors. NeuroImage 2001; 15: 217-232.
    • (2001) NeuroImage , vol.15 , pp. 217-232
    • Fadili, J.1    Bullmore, E.T.2
  • 73
    • 14244263525 scopus 로고    scopus 로고
    • Fractional Gaussian noise and functional magnetic resonance imaging
    • Maxim VT, Sendur LS, Fadili MJ, et al. Fractional Gaussian noise and functional magnetic resonance imaging. NeuroImage 2005; 25: 141-158.
    • (2005) NeuroImage , vol.25 , pp. 141-158
    • Maxim, V.T.1    Sendur, L.S.2    Fadili, M.J.3
  • 74
    • 0043041931 scopus 로고
    • Wavelab and reproducible research
    • Technical Report 474, Dept. of statistics, Stanford University
    • Buckheit JB, Donoho DL. Wavelab and reproducible research. Technical Report 474, Dept. of statistics, Stanford University 1995; http://wwwstat.stanford.edu/~wavelab.
    • (1995)
    • Buckheit, J.B.1    Donoho, D.L.2
  • 75
    • 1642357547 scopus 로고    scopus 로고
    • Denoising functional MR images: A comparison of wavelet denoising and Gaussian smoothing
    • Wink AM, Roerdink JBTM. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing. IEEE Trans Med Imag 2004; 23: 374-387.
    • (2004) IEEE Trans Med Imag , vol.23 , pp. 374-387
    • Wink, A.M.1    Roerdink, J.B.T.M.2
  • 76
    • 84944485718 scopus 로고
    • Mathematical analysis of random noise III-IV
    • Rice SO. Mathematical analysis of random noise III-IV. Bell System Technical Journal 1945; 24.
    • (1945) Bell System Technical Journal , pp. 24
    • Rice, S.O.1
  • 78
    • 84889173716 scopus 로고    scopus 로고
    • An extensible MRI simulator for post-processing evaluation
    • Lecture Notes in Computer Science
    • Kwan RKS, Evans AC, Pike GB. An extensible MRI simulator for post-processing evaluation. In: Proc. Visualization in Biomedical Computing. Lecture Notes in Computer Science. 1996; 1131: 135-140 (http://www.bic.mni.mcgill.ca/brainweb.)
    • (1996) Proc. Visualization in Biomedical Computing , vol.1131 , pp. 135-140
    • Kwan, R.K.S.1    Evans, A.C.2    Pike, G.B.3
  • 79
    • 0032890289 scopus 로고    scopus 로고
    • Methods for diagnosis and treatment of stimulus-correlated motion in generic brain activation studies using fMRI
    • Bullmore ET, Brammer MJ, Rabe-Hesketh S, et al. Methods for diagnosis and treatment of stimulus-correlated motion in generic brain activation studies using fMRI. Human Brain Mapping 1999; 7: 38-48.
    • (1999) Human Brain Mapping , vol.7 , pp. 38-48
    • Bullmore, E.T.1    Brammer, M.J.2    Rabe-Hesketh, S.3
  • 82
    • 0036136472 scopus 로고    scopus 로고
    • Nonparametric permutation tests for functional neuroimaging: A primer with examples
    • Nichols TE, Holmes AP. Nonparametric permutation tests for functional neuroimaging: A primer with examples. Human Brain Mapping 2002; 15: 1-25.
    • (2002) Human Brain Mapping , vol.15 , pp. 1-25
    • Nichols, T.E.1    Holmes, A.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.