메뉴 건너뛰기




Volumn 62, Issue 1, 2012, Pages 48-58

Multi-scale classification of disease using structural MRI and wavelet transform

Author keywords

Multi scale classification; Multiple sclerosis; Structural MRI; Support vector machine; Wavelet transform

Indexed keywords

ACCURACY; ADULT; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DATA EXTRACTION; DISEASE CLASSIFICATION; DUAL TREE COMPLEX WAVELET TRANSFORM; FEMALE; HUMAN; IMAGE PROCESSING; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

EID: 84861633811     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.05.022     Document Type: Article
Times cited : (68)

References (77)
  • 2
    • 0042925680 scopus 로고    scopus 로고
    • Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis
    • Antel S.B., Collins D.L., Bernasconi N., Andermann F., Shighal R., Kearney R.E., Arnold D.L., Bernasconi A. Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis. NeuroImage 2003, 19:1748-1759.
    • (2003) NeuroImage , vol.19 , pp. 1748-1759
    • Antel, S.B.1    Collins, D.L.2    Bernasconi, N.3    Andermann, F.4    Shighal, R.5    Kearney, R.E.6    Arnold, D.L.7    Bernasconi, A.8
  • 3
    • 0033933649 scopus 로고    scopus 로고
    • Voxel-based morphometry - the methods
    • Ashburner J., Friston K.J. Voxel-based morphometry - the methods. NeuroImage 2000, 11:805-821.
    • (2000) NeuroImage , vol.11 , pp. 805-821
    • Ashburner, J.1    Friston, K.J.2
  • 5
    • 79955005414 scopus 로고    scopus 로고
    • Multivariate models of inter-subject anatomical variability
    • Ashburner J., Klöppel S. Multivariate models of inter-subject anatomical variability. NeuroImage 2011, 56:422-439.
    • (2011) NeuroImage , vol.56 , pp. 422-439
    • Ashburner, J.1    Klöppel, S.2
  • 6
    • 0034090767 scopus 로고    scopus 로고
    • Tissue segmentation of MR images of the brain by possibilistic clustering on a 3D wavelet representation
    • Barra V., Boire J.Y. Tissue segmentation of MR images of the brain by possibilistic clustering on a 3D wavelet representation. J. Magn. Reson. Imaging 2000, 11:267-278.
    • (2000) J. Magn. Reson. Imaging , vol.11 , pp. 267-278
    • Barra, V.1    Boire, J.Y.2
  • 9
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Disc. 1998, 2:121-167.
    • (1998) Data Min. Knowl. Disc. , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 12
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines
    • Software available at
    • Chang C.C., Lin C.J. LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2011, 2:27:1-27:27. Software available at, http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2
    • Chang, C.C.1    Lin, C.J.2
  • 13
    • 33745255698 scopus 로고    scopus 로고
    • Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network
    • Chaplot S., Patnaik L.M., Jagannathan N.R. Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomed. Signal Process. Contr. 2006, 1:86-92.
    • (2006) Biomed. Signal Process. Contr. , vol.1 , pp. 86-92
    • Chaplot, S.1    Patnaik, L.M.2    Jagannathan, N.R.3
  • 14
    • 54149084585 scopus 로고    scopus 로고
    • Multiple sclerosis
    • Compston A., Coles A. Multiple sclerosis. Lancet 2008, 372:1502-1517.
    • (2008) Lancet , vol.372 , pp. 1502-1517
    • Compston, A.1    Coles, A.2
  • 15
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C., Vapnik V. Support-vector networks. Mach. Learn. 1995, 20:273-297.
    • (1995) Mach. Learn. , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 17
    • 84990575058 scopus 로고
    • Orthonormal bases of compactly supported wavelets
    • Daubechies I. Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 1988, 41:906-966.
    • (1988) Commun. Pure Appl. Math. , vol.41 , pp. 906-966
    • Daubechies, I.1
  • 18
    • 0003833285 scopus 로고
    • Society for Industrial and Applied Mathematics
    • Daubechies I. Ten Lectures on Wavelets 1992, Society for Industrial and Applied Mathematics.
    • (1992) Ten Lectures on Wavelets
    • Daubechies, I.1
  • 19
    • 44649136049 scopus 로고    scopus 로고
    • Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI
    • Davatzikos C., Resnick S.M., Wu X., Parmpi P., Clark C.M. Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. NeuroImage 2008, 41:1220-1227.
    • (2008) NeuroImage , vol.41 , pp. 1220-1227
    • Davatzikos, C.1    Resnick, S.M.2    Wu, X.3    Parmpi, P.4    Clark, C.M.5
  • 24
    • 7044276339 scopus 로고    scopus 로고
    • A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps
    • Fadili M.J., Bullmore E.T. A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps. NeuroImage 2004, 23:1112-1128.
    • (2004) NeuroImage , vol.23 , pp. 1112-1128
    • Fadili, M.J.1    Bullmore, E.T.2
  • 25
    • 27444448187 scopus 로고    scopus 로고
    • MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system
    • Filippi M., Rocca M.A. MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system. J. Neurol. 2005, 252:S16-S24.
    • (2005) J. Neurol. , vol.252
    • Filippi, M.1    Rocca, M.A.2
  • 26
    • 77949496537 scopus 로고    scopus 로고
    • Dirty-appearing white matter: a disregarded entity in multiple sclerosis
    • Filippi M., Rocca M.A. Dirty-appearing white matter: a disregarded entity in multiple sclerosis. AJNR Am. J. Neuroradiol. 2010, 31:390-391.
    • (2010) AJNR Am. J. Neuroradiol. , vol.31 , pp. 390-391
    • Filippi, M.1    Rocca, M.A.2
  • 29
    • 0345255005 scopus 로고    scopus 로고
    • Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis
    • Ge Y., Grossman R.I., Babb J.S., He J., Mannon L.J. Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis. AJNR Am. J. Neuroradiol. 2003, 24:1935-1940.
    • (2003) AJNR Am. J. Neuroradiol. , vol.24 , pp. 1935-1940
    • Ge, Y.1    Grossman, R.I.2    Babb, J.S.3    He, J.4    Mannon, L.J.5
  • 30
    • 0029322622 scopus 로고
    • An introduction to wavelets
    • Graps A. An introduction to wavelets. Comput. Sci. Eng. 1995, 2:50-61.
    • (1995) Comput. Sci. Eng. , vol.2 , pp. 50-61
    • Graps, A.1
  • 33
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans
    • Haynes J.D., Rees G. Decoding mental states from brain activity in humans. Nat. Rev. Neurosci. 2006, 7:523-534.
    • (2006) Nat. Rev. Neurosci. , vol.7 , pp. 523-534
    • Haynes, J.D.1    Rees, G.2
  • 35
    • 44649118754 scopus 로고    scopus 로고
    • Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease
    • He Y., Chen Z., Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J. Neurosci. 2008, 28:4756-4766.
    • (2008) J. Neurosci. , vol.28 , pp. 4756-4766
    • He, Y.1    Chen, Z.2    Evans, A.3
  • 36
  • 37
    • 77952407905 scopus 로고    scopus 로고
    • Texture analysis: a review of neurologic MR imaging applications
    • Kassner A., Thornhill R.E. Texture analysis: a review of neurologic MR imaging applications. AJNR 2010, 31:809-816.
    • (2010) AJNR , vol.31 , pp. 809-816
    • Kassner, A.1    Thornhill, R.E.2
  • 38
    • 0034440525 scopus 로고    scopus 로고
    • A dual-tree complex wavelet transform with improved orthogonality and symmetry properties
    • Kingsbury N.G. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties. Proc. IEEE Int. Conf. Image Proc, Canada 2000, 2:375-378.
    • (2000) Proc. IEEE Int. Conf. Image Proc, Canada , vol.2 , pp. 375-378
    • Kingsbury, N.G.1
  • 39
    • 0035331869 scopus 로고    scopus 로고
    • Complex wavelets for shift invariant analysis and filtering of signals
    • Kingsbury N.G. Complex wavelets for shift invariant analysis and filtering of signals. Appl. Comput. Harmon. Anal. 2001, 10:234-253.
    • (2001) Appl. Comput. Harmon. Anal. , vol.10 , pp. 234-253
    • Kingsbury, N.G.1
  • 45
    • 0021035886 scopus 로고
    • Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS)
    • Kurtzke J.F. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983, 33:1444-1452.
    • (1983) Neurology , vol.33 , pp. 1444-1452
    • Kurtzke, J.F.1
  • 46
    • 0034570987 scopus 로고    scopus 로고
    • Wavelets in temporal and spatial processing of biomedical images
    • Laine A.F. Wavelets in temporal and spatial processing of biomedical images. Annu. Rev. Biomed. Eng. 2000, 2:511-550.
    • (2000) Annu. Rev. Biomed. Eng. , vol.2 , pp. 511-550
    • Laine, A.F.1
  • 47
    • 1642574430 scopus 로고    scopus 로고
    • Morphological classification of brains via high-dimensional shape transformations and machine learning methods
    • Lao Z., Shen D., Yue Z., Karaceli B., Resnick S.M., Davatzikos C. Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 2004, 21:46-57.
    • (2004) NeuroImage , vol.21 , pp. 46-57
    • Lao, Z.1    Shen, D.2    Yue, Z.3    Karaceli, B.4    Resnick, S.M.5    Davatzikos, C.6
  • 49
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 1989, 11:674-693.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , pp. 674-693
    • Mallat, S.G.1
  • 55
    • 63349109274 scopus 로고    scopus 로고
    • Revealing representational content with pattern-information fMRI - an introductory guide
    • Mur M., Bandettini P.A., Kriegeskorte N. Revealing representational content with pattern-information fMRI - an introductory guide. Soc. Cogn. Affect. Neurosci. 2009, 4:101-109.
    • (2009) Soc. Cogn. Affect. Neurosci. , vol.4 , pp. 101-109
    • Mur, M.1    Bandettini, P.A.2    Kriegeskorte, N.3
  • 57
    • 0242721216 scopus 로고    scopus 로고
    • Controlling the familywise error rate in functional neuroimaging: a comparative review
    • Nichols T., Hayasaka S. Controlling the familywise error rate in functional neuroimaging: a comparative review. Stat. Methods Med. Res. 2003, 12:410-446.
    • (2003) Stat. Methods Med. Res. , vol.12 , pp. 410-446
    • Nichols, T.1    Hayasaka, S.2
  • 58
    • 77950343082 scopus 로고    scopus 로고
    • Use of SVM methods with surface-based cortical and volumetric subcortical measurements to detect Alzheimer's disease
    • Oliveira P.P., Nitrini R., Busatto G., Buchpiguel C., Sato J.R., Amaro E. Use of SVM methods with surface-based cortical and volumetric subcortical measurements to detect Alzheimer's disease. J. Alzheimers Dis. 2010, 19:1263-1272.
    • (2010) J. Alzheimers Dis. , vol.19 , pp. 1263-1272
    • Oliveira, P.P.1    Nitrini, R.2    Busatto, G.3    Buchpiguel, C.4    Sato, J.R.5    Amaro, E.6
  • 60
    • 77954953619 scopus 로고    scopus 로고
    • Network-level analysis of cortical thickness of the epileptic brain
    • Raj A., Mueller S.G., Young K., Laxer K.D., Weiner M. Network-level analysis of cortical thickness of the epileptic brain. NeuroImage 2010, 52:1302-1313.
    • (2010) NeuroImage , vol.52 , pp. 1302-1313
    • Raj, A.1    Mueller, S.G.2    Young, K.3    Laxer, K.D.4    Weiner, M.5
  • 62
    • 0347517766 scopus 로고    scopus 로고
    • Multi-resolution and wavelet representations for identifying signatures of disease
    • Sajda P., Lane A., Zeevi Y. Multi-resolution and wavelet representations for identifying signatures of disease. Dis. Markers 2002, 18:339-363.
    • (2002) Dis. Markers , vol.18 , pp. 339-363
    • Sajda, P.1    Lane, A.2    Zeevi, Y.3
  • 63
    • 42449158125 scopus 로고    scopus 로고
    • A wavelet-based optimal texture feature set for classification of brain tumors
    • Sasikala M., Kumaravel N. A wavelet-based optimal texture feature set for classification of brain tumors. J. Med. Eng. Technol. 2008, 32:198-205.
    • (2008) J. Med. Eng. Technol. , vol.32 , pp. 198-205
    • Sasikala, M.1    Kumaravel, N.2
  • 68
    • 33646564733 scopus 로고    scopus 로고
    • Variable precision registration via wavelets: optimal spatial scales for inter-subject registration of functional MRI
    • Suckling J., Long C., Triantafyollou C., Brammer M., Bullmore E. Variable precision registration via wavelets: optimal spatial scales for inter-subject registration of functional MRI. NeuroImage 2006, 15:197-208.
    • (2006) NeuroImage , vol.15 , pp. 197-208
    • Suckling, J.1    Long, C.2    Triantafyollou, C.3    Brammer, M.4    Bullmore, E.5
  • 69
    • 0030127507 scopus 로고    scopus 로고
    • A review of wavelets in biomedical applications
    • Unser M., Aldroubi A. A review of wavelets in biomedical applications. Proc. IEEE 1996, 84:626-638.
    • (1996) Proc. IEEE , vol.84 , pp. 626-638
    • Unser, M.1    Aldroubi, A.2
  • 70
    • 33645236685 scopus 로고    scopus 로고
    • Surfing the brain: an overview of wavelet-based techniques for fMRI data analysis
    • Van De Ville D., Blu T., Unser M. Surfing the brain: an overview of wavelet-based techniques for fMRI data analysis. IEEE Eng. Med. Biol. Mag. 2006, 25:65-78.
    • (2006) IEEE Eng. Med. Biol. Mag. , vol.25 , pp. 65-78
    • Van De Ville, D.1    Blu, T.2    Unser, M.3
  • 71
    • 77949514117 scopus 로고    scopus 로고
    • Diffusely abnormal white matter in progressive multiple sclerosis: in vivo quantitative MR imaging characterization and comparison between disease types
    • Vrenken H., Seewann A., Knol D.L., Polman C.H., Barkhof F., Geurts J.J. Diffusely abnormal white matter in progressive multiple sclerosis: in vivo quantitative MR imaging characterization and comparison between disease types. AJNR Am. J. Neuroradiol. 2010, 31:541-548.
    • (2010) AJNR Am. J. Neuroradiol. , vol.31 , pp. 541-548
    • Vrenken, H.1    Seewann, A.2    Knol, D.L.3    Polman, C.H.4    Barkhof, F.5    Geurts, J.J.6
  • 74
    • 79955385609 scopus 로고    scopus 로고
    • Local cortical surface complexity maps from spherical harmonic reconstructions
    • Yotter R.A., Nenadic I., Ziegler G., Thompson P.M., Gaser C. Local cortical surface complexity maps from spherical harmonic reconstructions. NeuroImage 2011, 56:961-973.
    • (2011) NeuroImage , vol.56 , pp. 961-973
    • Yotter, R.A.1    Nenadic, I.2    Ziegler, G.3    Thompson, P.M.4    Gaser, C.5
  • 75
    • 84862548174 scopus 로고    scopus 로고
    • A novel MRI texture analysis of demyelination and inflammation in relapsing-remitting experimental allergic encephalomyelitis
    • Zhang Y., Wells J., Buist R., et al. A novel MRI texture analysis of demyelination and inflammation in relapsing-remitting experimental allergic encephalomyelitis. Med. Image Comput. Comput. Assist. Interv. 2006, 9:760-767.
    • (2006) Med. Image Comput. Comput. Assist. Interv. , vol.9 , pp. 760-767
    • Zhang, Y.1    Wells, J.2    Buist, R.3
  • 76
    • 51649096842 scopus 로고    scopus 로고
    • Texture analysis of multiple sclerosis: a comparative study
    • Zhang J., Tong L., Wang L., Li N. Texture analysis of multiple sclerosis: a comparative study. Magn. Reson. Imaging 2008, 26:1160-1166.
    • (2008) Magn. Reson. Imaging , vol.26 , pp. 1160-1166
    • Zhang, J.1    Tong, L.2    Wang, L.3    Li, N.4
  • 77
    • 67349150649 scopus 로고    scopus 로고
    • T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis
    • Zhang Y., Zhu H., Mitchell J.R., et al. T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis. NeuroImage 2009, 47:107-111.
    • (2009) NeuroImage , vol.47 , pp. 107-111
    • Zhang, Y.1    Zhu, H.2    Mitchell, J.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.