Corrigendum to "Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change" [NeuroImage 49 (2010) 1601-1611] (DOI:10.1016/j.neuroimage.2009.08.008);Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change

NeuroImage

Volumn 49, Issue 2, 2010, Pages 1601-1611

  Caramanos, Zografos ^a   Fonov, Vladimir S ^a   Francis, Simon J ^a   Narayanan, Sridar ^a   Pike, G Bruce ^a   Collins, D Louis ^a   Arnold, Douglas L ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BRAIN ATROPHY; COMPUTER SIMULATION; CONTROLLED STUDY; HUMAN; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MULTIPLE SCLEROSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATIENT POSITIONING; PHANTOM; PRIORITY JOURNAL;

EID: 70749131118     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.12.016     Document Type: Erratum

References (20)

1. Altmann D.R., Jasperse B., Barkhof F., Beckmann K., Filippi M., Kappos L.D., Molyneux P., Polman C.H., Pozzilli C., Thompson A.J., Wagner K., Yousry T.A., and Miller D.H. Sample sizes for brain atrophy outcomes in trials for secondary progressive multiple sclerosis. Neurology 72 (2009) 595-601
2. Anderson V.M., Bartlett J.W., Fox N.C., Fisniku L., and Miller D.H. Detecting treatment effects on brain atrophy in relapsing remitting multiple sclerosis: sample size estimates. J. Neurol. 254 (2007) 1588-1594
3. Anderson V.M., Fernando K.T., Davies G.R., Rashid W., Frost C., Fox N.C., and Miller D.H. Cerebral atrophy measurement in clinically isolated syndromes and relapsing remitting multiple sclerosis: a comparison of registration-based methods. J. Neuroimaging 17 (2007) 61-68
4. Camara O., Schnabel J.A., Ridgway G.R., Crum W.R., Douiri A., Scahill R.I., Hill D.L., and Fox N.C. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images. NeuroImage 42 (2008) 696-709
5. Collins D.L., and Evans A. Animal: validation and applications of non-linear registration-based segmentation. Int. J. Pattern Recogn. Artif. Intell. 11 (1997) 1271-1294
6. Collins D.L., Neelin P., Peters T.M., and Evans A.C. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 18 (1994) 192-205
7. De Stefano N., Battaglini M., and Smith S.M. Measuring brain atrophy in multiple sclerosis. J. Neuroimaging 17 Suppl. 1 (2007) 10S-15S
8. Filippi M., Rovaris M., Inglese M., Barkhof F., De Stefano N., Smith S., and Comi G. Interferon beta-1a for brain tissue loss in patients at presentation with syndromes suggestive of multiple sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet 364 (2004) 1489-1496
9. Fox N.C., Freeborough P.A., and Rossor M.N. Visualisation and quantification of rates of atrophy in Alzheimer's disease. Lancet 348 (1996) 94-97
10. Giorgio A., Battaglini M., Smith S.M., and De Stefano N. Brain atrophy assessment in multiple sclerosis: importance and limitations. Neuroimaging Clin. N. Am. 18 (2008) 675-686 xi
11. Janke A., Zhao H., Cowin G.J., Galloway G.J., and Doddrell D.M. Use of spherical harmonic deconvolution methods to compensate for nonlinear gradient effects on MRI images. Magn. Reson. Med. 52 (2004) 115-122
12. Jasperse B., Valsasina P., Neacsu V., Knol D.L., De Stefano N., Enzinger C., Smith S.M., Ropele S., Korteweg T., Giorgio A., Anderson V., Polman C.H., Filippi M., Miller D.H., Rovaris M., Barkhof F., and Vrenken H. Intercenter agreement of brain atrophy measurement in multiple sclerosis patients using manually-edited SIENA and SIENAX. J. Magn. Reson. Imaging 26 (2007) 881-885
13. Jovicich J., Czanner S., Greve D., Haley E., van der Kouwe A., Gollub R., Kennedy D., Schmitt F., Brown G., Macfall J., Fischl B., and Dale A. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. NeuroImage 30 (2006) 436-443
14. Lancaster J.L., Tordesillas-Gutierrez D., Martinez M., Salinas F., Evans A., Zilles K., Mazziotta J.C., and Fox P.T. Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template. Hum. Brain Mapp. 28 (2007) 1194-1205
15. Sled J.G., Zijdenbos A.P., and Evans A.C. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging 17 (1998) 87-97
16. Smith S.M., De Stefano N., Jenkinson M., and Matthews P.M. Normalized accurate measurement of longitudinal brain change. J. Comput. Assist. Tomogr. 25 (2001) 466-475
17. Smith S.M., Zhang Y., Jenkinson M., Chen J., Matthews P.M., Federico A., and De Stefano N. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. NeuroImage 17 (2002) 479-489
18. Smith S.M., Rao A., De Stefano N., Jenkinson M., Schott J.M., Matthews P.M., and Fox N.C. Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: cross-validation of BSI, SIENA and SIENAX. NeuroImage 36 (2007) 1200-1206
19. Sormani M.P., Rovaris M., Valsasina P., Wolinsky J.S., Comi G., and Filippi M. Measurement error of two different techniques for brain atrophy assessment in multiple sclerosis. Neurology 62 (2004) 1432-1434
20. Wang D., Strugnell W., Cowin G., Doddrell D.M., and Slaughter R. Geometric distortion in clinical MRI systems. Part I: evaluation using a 3D phantom. Magn. Reson. Imaging 22 (2004) 1211-1221