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

Volumn 46, Issue 1, 2009, Pages 177-192

  Jovicich, Jorge ^a   Czanner, Silvester ^b   Han, Xiao ^c   Salat, David ^d   van der Kouwe, Andre ^d   Quinn, Brian ^d   Pacheco, Jenni ^d   Albert, Marilyn ^e   Killiany, Ronald ^f   Blacker, Deborah ^d   Maguire, Paul ^g   Rosas, Diana ^d   Makris, Nikos ^d   Gollub, Randy ^d   Dale, Anders ^h   Dickerson, Bradford C ^d   Fischl, Bruce ^d,i  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF WARWICK   (United Kingdom)

^c CMS Inc   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

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

^f BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g PFIZER GLOBAL RESEARCH AND DEVELOPMENT   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Cerebral cortex; Morphology; Reliability; Reproducibility; Structural MRI; Subcortical brain volumes

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; BRAIN CORTEX; BRAIN LATERAL VENTRICLE; BRAIN SIZE; BRAIN VENTRICLE; CAUDATE NUCLEUS; DATA ANALYSIS; DIFFUSION WEIGHTED IMAGING; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE INTENSIFIER; IN VIVO STUDY; INTERMETHOD COMPARISON; MPRAGE ACQUISITION; NEUROANATOMY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; PUTAMEN; THALAMUS;

ADULT; AGED; AGED, 80 AND OVER; BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTICENTER STUDIES AS TOPIC; REPRODUCIBILITY OF RESULTS;

EID: 62749102750     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.02.010     Document Type: Article

References (62)

1. Alecci M., Zhang Y., Brady J.M., Jezzard P., and Smith S. Image-based evaluation of a-priori B1 field correction and its effect on MRI tissue segmentation. In Proc. Int. Soc. Magn. Reson. Med. (2000) 109
2. Alemán-Gómez Y., Melie-García L., and Valdés-Hernandez P. IBASPM: toolbox for automatic parcellation of brain structures. Human Brain Mapping, 12th Annual Meeting; Florence, Italy (2007)
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. Anstey K.J., and Maller J.J. The role of volumetric MRI in understanding mild cognitive impairment and similar classifications. Aging Ment. Health 7 (2003) 238-250
5. Ashburner J., and Friston K.J. Voxel-based morphometry - the methods. NeuroImage 11 (2000) 805-821
6. Barnes J., Lewis E.B., Scahill R.I., Bartlett J.W., Frost C., Schott J.M., Rossor M.N., and Fox N.C. Automated measurement of hippocampal atrophy using fluid-registered serial MRI in AD and controls. J. Comput. Assist. Tomogr. 31 (2007) 581-587
7. Belmonte M.K., Mazziotta J.C., Minshew N.J., Evans A.C., Courchesne E., Dager S.R., Bookheimer S.Y., Aylward E.H., Amaral D.G., Cantor R.M., Chugani D.C., Dale A.M., Davatzikos C., Gerig G., Herbert M.R., Lainhart J.E., Murphy D.G., Piven J., Reiss A.L., Schultz R.T., Zeffiro T.A., Levi-Pearl S., Lajonchere C., and Colamarino S.A. Offering to share: how to put heads together in autism neuroimaging. J. Autism Dev. Disord. 38 1 (2008) 2-13
8. Benner T., Wisco J.J., van der Kouwe A., Fischl B., Vangel M.G., Hochberg F.H., and Sorensen A.G. Comparison of manual and automatic slice positioning of brain MR images. Radiology 239 (2006) 246-254
9. Bland J.M., and Altman D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet i (1986) 307-310
10. Camara O., Scahill R.I., Schnabel J.A., Crum W.R., Ridgway G.R., Hill D.L., and Fox N.C. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data. Med. Image Comput. Comput. Assist. Interv. Int. Conf. Med. Image Comput. Comput. Assist. Interv. 10 (2007) 785-792
11. nd edn (1988), Academic Press, New York
12. Collins D.L., Zijdenbos A.P., Barré W.F.C., and Evans A.C. ANIMAL + INSECT: improved cortical structure segmentation. Proc. of the Annual Symposium on Information Processing in Medical Imaging. In: Kuba A., Samal M., and Todd-Pokropek A. (Eds). vol. 1613 of LNCS (1999), Springer, Berlin 210-223
13. Czanner S., Han X., Pacheco J., Wallace S., Busa E., van der Kouwe A., Fischl B., and Jovicich J. Test-retest reliability assessment for longitudinal MRI studies: effects of MRI system upgrade on morphometric analysis of structural MRI data. Human Brain Mapping, 12th Annual Meeting; Florence, Italy (2006)
14. DeKosky S.T., and Marek K. Looking backward to move forward: early detection of neurodegenerative disorders. Science 302 (2003) 830-834
15. Dickerson B.C., and Sperling R.A. Neuroimaging biomarkers for clinical trials of disease-modifying therapies in Alzheimer's disease. NeuroRx 2 (2005) 348-360
16. Douaud G., Gaura V., Ribeiro M.J., Lethimonnier F., Maroy R., Verny C., Krystkowiak P., Damier P., Bachoud-Levi A.C., Hantraye P., and Remy P. Distribution of grey matter atrophy in Huntington's disease patients: a combined ROI-based and voxel-based morphometric study. NeuroImage 32 (2006) 1562-1575
17. Efron B., and Tibshirani R.J. An Introduction to the Boostrap (1993), Chapman & Hall/CRC, New York
18. Ewers M., Teipel S.J., Dietrich O., Schonberg S.O., Jessen F., Heun R., Scheltens P., Pol L., Freymann N.R., Moeller H.J., and Hampel H. Multicenter assessment of reliability of cranial MRI. Neurobiol. Aging 27 (2006) 1051-1059
19. Fennema-Notestine C., Gamst A.C., Quinn B.T., Pacheco J., Jernigan T.L., Thal L., Buckner R., Killiany R., Blacker D., Dale A.M., Fischl B., Dickerson B., and Gollub R.L. Feasibility of multi-site clinical structural neuroimaging studies of aging using legacy data. Neuroinformatics 5 (2007) 235-245 Nov 13 [Electronic publication ahead of print]
20. Fischl B., and Dale A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceed. Nat. Acad. Sci. 97 (2000) 11044-11049
21. Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., van der Kouwe A., Killiany R., Kennedy D., Klaveness S., Montillo A., Makris N., Rosen B., and Dale A.M. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33 (2002) 341-355
22. Fischl B., Salat D.H., van der Kouwe A.J.W., Makris N., Ségonne F., and Dale A.M. Sequence-independent segmentation of magnetic resonance images. NeuroImage 22 (2004) 1060-1075
23. Fox N.C., Cousens S., Scahill R., Harvey R.J., and Rossor M.N. Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects. Arch. Neurol. 57 (2000) 339-344
24. Haller J.W., Banerjee A., Christensen G.E., et al. Three dimensional hippocampal MR morphometry with high-dimensional transformation of a neuroanatomic atlas. Radiology 202 (1997) 504-510
25. Han X., and Fischl B. Atlas renormalization for improved brain MR image segmentation across scanner platforms. Med. Imaging, IEEE Trans. 26 (2007) 479-486
26. Han X., Jovicich J., Salat D., van der Kouwe A., Quinn B., Czanner S., Busa E., Pacheco J., Albert M., Killiany R., Maguire P., Rosas D., Makris N., Dale A.M., Dickerson B., and Fischl B. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. NeuroImage 32 (2006) 180-194
27. Jack Jr. C.R., Slomkowski M., Gracon S., Hoover T.M., Felmlee J.P., Stewart K., Xu Y., Shiung M., O'Brien P.C., Cha R., Knopman D., and Petersen R.C. MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD. Neurology 60 (2003) 253-260
28. Jack Jr. C.R., Shiung M.M., Weigand S.D., O'Brien P.C., Gunter J.L., Boeve B.F., Knopman D.S., Smith G.E., Ivnik R.J., Tangalos E.G., and Petersen R.C. Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology 65 (2005) 1227-1231
29. Jovicich J., Czanner S., Greve D., Pacheco J., Busa E., van der Kouwe A., Morphometry B.I.R.N., and Fischl B. Test-retest reproducibility assessments for longitudinal studies: quantifying MRI system upgrade effects. International Society of Magnetic Resonance in Medicine; Miami, USA (2005)
30. 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.M. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. NeuroImage 30 (2006) 436-443
31. Kantarci K., and Jack Jr. C.R. Quantitative magnetic resonance techniques as surrogate markers of Alzheimer's disease. NeuroRx 1 (2004) 196-205
32. Kassube J., Juengling F.D., Kioschies T., Henkel K., Karitzky J., Kramer B., Ecker D., Andrich J., Saft C., Kraus P., Aschoff A.J., Ludolph A.C., and Landwehrmeyer G.B. Topography of cerebral atrophy in early Huntington's disease: a voxel based morphometric MRI study. J. Neurol. Neurosurg. Psychiatry 75 (2004) 213-220
33. Kassubek J., Juengling F.D., Ecker D., and Landwehrmeyer G.B. Thalamic atrophy in Huntington's disease co-varies with cognitive performance: a morphometric MRI analysis. Cereb. Cortex 15 (2005) 846-853
34. Kipps C.M., Duggins A.J., Mahant N., Gomes L., Ashburner J., and McCusker E.A. Progression of structural neuropathology in preclinical Huntington's disease: a tensor based morphometry study. J. Neurol. Neurosurg. Psychiatry 76 (2005) 650-655
35. Koo M.S., Levitt J.J., McCarley R.W., Seidman L.J., Dickey C.C., Niznikiewicz M.A., Voglmaier M.M., Zamani P., Long K.R., Kim S.S., and Shenton M.E. Reduction of caudate nucleus volumes in neuroleptic-naive female subjects with schizotypal personality disorder. Biol. Psychiatry 60 (2006) 40-48
36. Kouwe van der A., Benner T., Fischl B., Schmitt F., Salat D., Harder M., Sorensen A.G., and Dale A.M. On-line automatic slice positioning for brain MR imaging. NeuroImage 27 (2005) 222-230
37. Kuroki N., Kubicki M., Nestor P.G., Salisbury D.F., Park H.J., Levitt J.J., Woolston S., Frumin M., Niznikiewicz M., Westin C.F., Maier S.E., McCarley R.W., and Shenton M.E. Fornix integrity and hippocampal volume in male schizophrenic patients. Biol. Psychiatry 60 (2006) 22-31
38. Leow A.D., Yu C.L., Lee S.J., Huang S.C., Nicolson R., Hayashi K.M., Protas H., Toga A.W., and Thompson P.M. Brain structural mapping using a novel hybrid implicit/explicit framework based on the level-set method. NeuroImage 24 (2005) 910-927
39. Leow A.D., Klunder A.D., Jack Jr. C.R., Toga A.W., Dale A.M., Bernstein M.A., Britson P.J., Gunter J.L., Ward C.P., Whitwell J.L., Borowski B.J., Fleisher A.S., Fox N.C., Harvey D., Kornak J., Schuff N., Studholme C., Alexander G.E., Weiner M.W., and Thompson P.M. ADNI Preparatory Phase Study. Longitudinal stability of MRI for mapping brain change using tensor-based morphometry. NeuroImage 31 (2006) 627-640
40. Magnotta V.A., Harris G., Andreasen N.C., O'Leary D.S., Yuh W.T., and Heckel D. Structural MR image processing using the BRAINS2 toolbox. Comput. Med. Imaging Graph. 26 (2002) 251-264
41. Makris N., Goldstein J.M., Kennedy D., Hodge S.M., Caviness V.S., Faraone S.V., Tsuang M.T., and Seidman L.J. Decreased volume of left and total anterior insular lobule in schizophrenia. Schizophr Res. 83 (2006) 155-171
42. Miller M.I. Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms. NeuroImage 23 Suppl. 1 (2004) S19-33
43. Mueller S.G., Weiner M.W., Thal L.J., Petersen R.C., Jack C., Jagust W., Trojanowski J.Q., Toga A.W., and Beckett L. The Alzheimer's disease neuroimaging initiative. Neuroimaging Clin. N. Am. 15 (2005) 869-877 (xi-xii.)
44. Mueller S.G., Stables L., Du A.T., Schuff N., Truran D., Cashdollar N., and Weiner M.W. Measurement of hippocampal subfields and age-related changes with high resolution MRI at 4 T. Neurobiol. Aging 28 (2007) 719-726
45. Munn M.A., Alexopoulos J., Nishino T., Babb C.M., Flake L.A., Singer T., Ratnanather J.T., Huang H., Todd R.D., Miller M.I., and Botteron K.N. Amygdala volume analysis in female twins with major depression. Biol. Psychiatry 62 (2007) 415-422
46. Murphy S.N., Mendis M.E., Grethe J., Gollub R., Kennedy D., and Rosen B.R. A Web portal that enables collaborative use of advanced medical image processing and informatics tools through the Biomedical Informatics Research Network (BIRN). AMIA Annu. Symp. Proc. (2006) 579-583
47. Patenaude B.M., Smith S., Kennedy D., and Jenkinson M. Automated subcortical segmentation using statistical shape models. Human Brain Mapping (2006), 12th Annual Meeting, Florence, Italy
48. Peinemann A., Schuller S., Pohl C., Jahn T., Weindl A., and Kassubek J. Executive dysfunction in early stages of Huntington's disease is associated with striatal and insular atrophy: a neuropsychological and voxel-based morphometric study. J. Neurol. Sci. 239 (2005) 11-19
49. Pengas, G., Pereira, J.M.S., Williams, G.B., Nesto, P.J., 2009. Comparative Reliability of Total Intracranial Volume Estimation Methods and the Influence of Atrophy in a Longitudinal Semantic Dementia Cohort. J. Neuroimaging 19, 37-46
50. Rosas H.D., Koroshetz W.J., Chen Y.I., Skeuse C., Vangel M., Cudkowicz M.E., Caplan K., Marek K., Seidman L.J., Makris N., Jenkins B.G., and Goldstein J.M. Evidence for more widespread cerebral pathology in early HD: an MRI-based morphometric analysis. Neurology 60 (2003) 1615-1620
51. Senjem M.L., Gunter J.L., Shiung M.M., Petersen R.C., and Jack Jr. C.R. Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease. NeuroImage 26 (2005) 600-608
52. Shenton M.E., Dickey C.C., Frumin M., and McCarley R.W. A review of MRI findings in schizophrenia. Schizophr Res. 49 (2001) 1-52
53. Smith, S.M., De Stefano, N., Jenkinson, M., Matthews, P.M., 2002a. Measurement of brain change over time, FMRIB Technical Report TR00SMS1, http://www.fmrib.ox.ac.uk/analysis/research/siena/siena/siena.html.
54. 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
55. Studholme C., Cardenas V., Schuff N., Rosen H., Miller B., and Weiner M.W. Detecting spatially consistent structural differences in Alzheimer's and frontotemporal dementia using deformation morphometry. MICCAI (2001) 41-48
56. Szentkuti A., Guderian S., Schiltz K., Kaufmann J., Munte T.F., Heinze H.J., and Duzel E. Quantitative MR analyses of the hippocampus: unspecific metabolic changes in aging. J. Neurol. 251 (2004) 1345-1353
57. Tae W.S., Kim S.S., Lee K.U., Nam E.C., and Kim K.W. Validation of hippocampal volumes measured using a manual method and two automated methods (FreeSurfer and IBASPM) in chronic major depressive disorder. Neuroradiology 51 (2009) 203-204
58. Thieben M.J., Duggins A.J., Good C.D., Gomes L., Mahant N., Richards F., McCusker E., and Frackowiak R.S. The distribution of structural neuropathology in pre-clinical Huntington's disease. Brain 125 (2002) 1815-1828
59. van der Kouwe A.J.W., Benner T., Salat D.H., and Fischl B. Brain morphometry with multiecho MPRAGE. NeuroImage 40 (2008) 559-569
60. van Rijsbergen C.J. Information Retrieval. 2nd ed (1979), Butterworths, London, U.K
61. Walters R.J.C., Fox N.C., Crum W.R., Taube D., and Thomas D.J. Hemodialysis and cerebral edema. Nephron 87 (2001) 143-147
62. Wang L., Beg F., Ratnanather T., Ceritoglu C., Younes L., Morris J.C., Csernansky J.G., and Miller M.I. Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the Alzheimer type. IEEE Trans. Med. Imag. 26 (2007) 462-470