Effects of the use of multiple scanners and of scanner upgrade in longitudinal voxel-based morphometry studies

Journal of Magnetic Resonance Imaging

Volumn 38, Issue 5, 2013, Pages 1283-1291

  Takao, Hidemasa ^a   Hayashi, Naoto ^a   Ohtomo, Kuni ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

gray matter volume; multi center; multi scanner; reliability; reproducibility; variability

Indexed keywords

ADULT; ARTICLE; BRAIN SIZE; CEREBROSPINAL FLUID; FEMALE; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SUBTRACTION; MALE; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; ULTRASOUND SCANNER; VOXEL BASED MORPHOMETRY; WHITE MATTER;

GRAY MATTER VOLUME; MULTI-CENTER; MULTI-SCANNER; RELIABILITY; REPRODUCIBILITY; VARIABILITY;

ADULT; AGED; AGED, 80 AND OVER; AGING; BRAIN; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; JAPAN; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84885477006     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24038     Document Type: Article

References (36)

1. Jack CR Jr, Bernstein MA, Fox NC, et al. The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging 2008; 27: 685-691.
2. Whitwell JL, Crum WR, Watt HC, Fox NC,. Normalization of cerebral volumes by use of intracranial volume: implications for longitudinal quantitative MR imaging. AJNR Am J Neuroradiol 2001; 22: 1483-1489.
3. Freeborough PA, Fox NC,. Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images. J Comput Assist Tomogr 1998; 22: 838-843.
4. Kruggel F, Turner J, Muftuler LT,. Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort. Neuroimage 2010; 49: 2123-2133.
5. Huppertz HJ, Kroll-Seger J, Kloppel S, Ganz RE, Kassubek J,. Intra- and interscanner variability of automated voxel-based volumetry based on a 3D probabilistic atlas of human cerebral structures. Neuroimage 2010; 49: 2216-2224.
6. Ho AJ, Hua X, Lee S, et al. Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry. Hum Brain Mapp 2010; 31: 499-514.
7. Moorhead TW, Gountouna VE, Job DE, et al. Prospective multi-centre voxel based morphometry study employing scanner specific segmentations: procedure development using CaliBrain structural MRI data. BMC Med Imaging 2009; 9: 8.
8. Jovicich J, Czanner S, Han X, et al. MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage 2009; 46: 177-192.
9. Pardoe H, Pell GS, Abbott DF, Berg AT, Jackson GD,. Multi-site voxel-based morphometry: methods and a feasibility demonstration with childhood absence epilepsy. Neuroimage 2008; 42: 611-616.
10. Fennema-Notestine C, Gamst AC, Quinn BT, et al. Feasibility of multi-site clinical structural neuroimaging studies of aging using legacy data. Neuroinformatics 2007; 5: 235-245.
11. Stonnington CM, Tan G, Kloppel S, et al. Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease. Neuroimage 2008; 39: 1180-1185.
12. Dickerson BC, Fenstermacher E, Salat DH, et al. Detection of cortical thickness correlates of cognitive performance: reliability across MRI scan sessions, scanners, and field strengths. Neuroimage 2008; 39: 10-18.
13. Han X, Jovicich J, Salat D, et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006; 32: 180-194.
14. Ewers M, Teipel SJ, Dietrich O, et al. Multicenter assessment of reliability of cranial MRI. Neurobiol Aging 2006; 27: 1051-1059.
15. Schnack HG, van Haren NE, Hulshoff Pol HE, et al. Reliability of brain volumes from multicenter MRI acquisition: a calibration study. Hum Brain Mapp 2004; 22: 312-320.
16. Briellmann RS, Syngeniotis A, Jackson GD,. Comparison of hippocampal volumetry at 1.5 tesla and at 3 tesla. Epilepsia 2001; 42: 1021-1024.
17. Gunter JL, Bernstein MA, Borowski BJ, et al. Measurement of MRI scanner performance with the ADNI phantom. Med Phys 2009; 36: 2193-2205.
18. Suckling J, Barnes A, Job D, et al. Power calculations for multicenter imaging studies controlled by the false discovery rate. Hum Brain Mapp 2010; 31: 1183-1195.
19. Focke NK, Helms G, Kaspar S, et al. Multi-site voxel-based morphometry-not quite there yet. Neuroimage 2011; 56: 1164-1170.
20. Takao H, Hayashi N, Ohtomo K,. Effect of scanner in longitudinal studies of brain volume changes. J Magn Reson Imaging 2011; 34: 438-444.
21. Kempton MJ, Underwood TS, Brunton S, et al. A comprehensive testing protocol for MRI neuroanatomical segmentation techniques: evaluation of a novel lateral ventricle segmentation method. Neuroimage 2011; 58: 1051-1059.
22. Pfefferbaum A, Rohlfing T, Rosenbloom MJ, Sullivan EV,. Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths. Neuroimage 2012; 60: 940-951.
23. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA,. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987; 149: 351-356.
24. Jovicich J, Czanner S, Greve D, et al. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006; 30: 436-443.
25. Takao H, Abe O, Hayashi N, Kabasawa H, Ohtomo K,. Effects of gradient non-linearity correction and intensity non-uniformity correction in longitudinal studies using structural image evaluation using normalization of atrophy (SIENA). J Magn Reson Imaging 2010; 32: 489-492.
26. Takao H, Abe O, Ohtomo K,. Computational analysis of cerebral cortex. Neuroradiology 2010; 52: 691-698.
27. Sled JG, Zijdenbos AP, Evans AC,. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998; 17: 87-97.
28. Ashburner J, Friston KJ,. Unified segmentation. Neuroimage 2005; 26: 839-851.
29. Ashburner J,. A fast diffeomorphic image registration algorithm. Neuroimage 2007; 38: 95-113.
30. Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS,. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001; 14 (Pt 1): 21-36.
31. Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ,. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 1994; 2: 189-210.
32. Takao H, Hayashi N, Ohtomo K,. A longitudinal study of brain volume changes in normal aging. Eur J Radiol 2012; 81: 2801-2804.
33. Fjell AM, Walhovd KB, Fennema-Notestine C, et al. One-year brain atrophy evident in healthy aging. J Neurosci 2009; 29: 15223-15231.
34. Gunter JL, Shiung MM, Manduca A, Jack CR Jr,. Methodological considerations for measuring rates of brain atrophy. J Magn Reson Imaging 2003; 18: 16-24.
35. Shuter B, Yeh IB, Graham S, Au C, Wang SC,. Reproducibility of brain tissue volumes in longitudinal studies: effects of changes in signal-to-noise ratio and scanner software. Neuroimage 2008; 41: 371-379.
36. Clarkson MJ, Ourselin S, Nielsen C, et al. Comparison of phantom and registration scaling corrections using the ADNI cohort. Neuroimage 2009; 47: 1506-1513.