Statistical normalization techniques for magnetic resonance imaging

NeuroImage: Clinical

Volumn 6, Issue , 2014, Pages 9-19

  Shinohara, Russell T ^a   Sweeney, Elizabeth M ^b,c   Goldsmith, Jeff ^d   Shiee, Navid ^e   Mateen, Farrah J ^f   Calabresi, Peter A ^g   Jarso, Samson ^g   Pham, Dzung L ^e   Reich, Daniel S ^b,c,g   Crainiceanu, Ciprian M ^d  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

^e HENRY M JACKSON FOUNDATION FOR THE ADVANCEMENT OF MILITARY MEDICINE   (United States)

^f MASSACHUSETTS GENERAL HOSPITAL   (United States)

^g JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Image analysis; Magnetic resonance imaging; Normalization; Statistics

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; ARTIFACT; CEREBROSPINAL FLUID; CONTROLLED STUDY; GRAY MATTER; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MILD COGNITIVE IMPAIRMENT; MULTIPLE SCLEROSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; WHITE MATTER; FEMALE; IMAGE PROCESSING; MALE; MIDDLE AGED; STANDARDS; STATISTICS AND NUMERICAL DATA; VERY ELDERLY; METHODOLOGY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS;

EID: 84906852811     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.08.008     Document Type: Article

References (26)

1. V.M. Anderson, J.M. Schott, J.W. Bartlett, K.K. Leung, D.H. Miller, and N.C. Fox Gray matter atrophy rate as a marker of disease progression in AD Neurobiol. Aging 33 2012 1194 1202
2. P.-L. Bazin, and D.L. Pham Topology-preserving tissue classification of magnetic resonance brain images IEEE Trans. Med. Imaging 26 2007 487 496 (Pubitemid 46527329)
3. K.A. Ellis, A.I. Bush, D. Darby, D. De Fazio, J. Foster, P. Hudson, N.T. Lautenschlager, N. Lenzo, R.N. Martins, P. Maruff, C. Masters, A. Milner, K. Pike, C. Rowe, G. Savage, C. Szoeke, K. Taddei, V. Villemagne, M. Woodward, D. Ames, and AIBL Research Group The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease Int. Psychogeriatr. 21 4 2009 672 687
4. P. Hellier Consistent intensity correction of MR images Image Processing, 2003 ICIP 2003 1 2003 (I-1109IEEE)
5. W. Hoeffding A class of statistics with asymptotically normal distribution Ann. Math. Stat. 19 1948 293 325
6. R.A. Irizarry, B. Hobbs, and F. Collin et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data Biostatistics 4 2003 249 264
7. C.R. Jack, M.A. Bernstein, and N.C. Fox et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods J. Magn. Reson. Imaging 27 2008 685 691 (Pubitemid 351508080)
8. F. Jäger, Y. Deuerling-Zheng, B. Frericks, F. Wacker, and H. Hornegger A new method for MRI intensity standardization with application to lesion detection in the brain Vision Modeling and Visualization 2006 269 276
9. K.K. Leung, M.J. Clarkson, and J.W. Bartlett et al. Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection NeuroImage 50 2010 516 523
10. C.P. Loizou, M. Pantziaris, I. Seimenis, and C.S. Pattichis Brain MR image normalization in texture analysis of multiple sclerosis Information Technology and Applications Biomedicine, 2009 ITAB 2009 2009 (1-5IEEE)
11. B.C. Lucas, J.A. Bogovic, and A. Carass et al. The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software Neuroinformatics 8 2010 5 17
12. A. Madabhushi, and J.K. Udupa New methods of MR image intensity standardization via generalized scale Med. Phys. 33 2006 3426
13. A. Madabhushi, J.K. Udupa, and G. Moonis Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging J. Magn. Reson. Imaging 24 2006 667 675 (Pubitemid 44320571)
14. D.S. Meier, and C.R.G. Guttmann Time-series analysis of MRI intensity patterns in multiple sclerosis NeuroImage 20 2003 1193 1209 (Pubitemid 37268137)
15. L.G. Nyul, and J.K. Udupa On standardizing the MR image intensity scale Magn. Reson. Med. 42 1999 1072 1081
16. L.G. Nyul, J.K. Udupa, and X. Zhang New variants of a method of MRI scale standardization IEEE Trans. Med. Imaging 19 2000 143 150 (Pubitemid 30594807)
17. D. Ruppert, M.P. Wand, and R.J. Carroll Semiparametric Regression 2003 Cambridge University Press
18. M. Shah, Y. Xiao, and N. Subbanna et al. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis Med. Image Anal. 15 2011 267 282
19. N. Shiee, P.L. Bazin, A. Ozturk, D.S. Reich, P.A. Calabresi, and D.L. Pham A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions NeuroImage 49 2010 1524 1535
20. R.T. Shinohara, C.M. Crainiceanu, B.S. Caffo, M.I. Gaitán, and D.S. Reich Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis NeuroImage 57 2011 1430 1446
21. J.G. Sled, A.P. Zijdenbos, and A.C. Evans A nonparametric method for automatic correction of intensity nonuniformity in MRI data IEEE Trans. Med. Imaging 17 1998 87 97 (Pubitemid 128742012)
22. S.M. Smith Fast robust automated brain extraction Hum. Brain Mapp. 17 2002 143 155 (Pubitemid 35253488)
23. E.M. Sweeney, R.T. Shinohara, C.D. Shea, D.S. Reich, and C.M. Crainiceanu Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI Am. J. Neuroradiol. 34 1 2013 68 73
24. E.M. Sweeney, R.T. Shinohara, and N. Shiee et al. OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI NeuroImage Clin. 34 2013 68 73
25. L. Wang, H.M. Lai, G.J. Barker, D.H. Miller, and P.S. Tofts Correction for variations in MRI scanner sensitivity in brain studies with histogram matching Magn. Reson. Med. 39 1998 322 327 (Pubitemid 28099153)
26. N.L. Weisenfeld, and S.K. Warfield Normalization of joint image-intensity statistics in MRI using the Kullback-Leibler divergence Biomedical Imaging: Nano to Macro, 2004 IEEE International Symposium on 2004 (101-104IEEE)