Evaluation of automatic measurement of the intracranial volume based on quantitative MR imaging

American Journal of Neuroradiology

Volumn 33, Issue 10, 2012, Pages 1951-1956

  Ambarki, Khalid ^a   Lindqvist, T ^a   Wahlin A ^a   Petterson, E ^b   Warntjes, M J B ^b,c   Birgander, R ^a   Malm, J ^a   Eklund, A ^a  

^a UMEÅ UNIVERSITY   (Sweden)

^b SyntheticMR ABE   (Sweden)

^c LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BRAIN SIZE; DATA ANALYSIS SOFTWARE; EVALUATION; HUMAN; HUMAN EXPERIMENT; IMAGING SOFTWARE; MEASUREMENT; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; QUANTITATIVE ANALYSIS;

ADULT; ALGORITHMS; BRAIN; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; ORGAN SIZE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84870939450     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3067     Document Type: Article

References (23)

1. Nopoulos PC, Aylward EH, Ross CA, et al. Smaller intracranial volume in prodromal Huntington's disease: evidence for abnormal neurodevelopment. Brain 2011;134:137-42
2. Jack CR Jr, Wiste HJ, Vemuri P, et al. Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease. Brain 2010;133:3336-48
3. Palm WM, Saczynski JS, van der Grond J, et al. Ventricular dilation: association with gait and cognition. Ann Neurol 2009;66:485-93
4. Relkin N, Marmarou A, Klinge P, et al. Diagnosing idiopathic normal-pressure hydrocephalus. Neurosurgery 2005;57:S4-16, discussion ii-v
5. Desikan RS, Cabral HJ, Fischl B, et al. Temporoparietal MR imaging measures of atrophy in subjects with mild cognitive impairment that predict subsequent diagnosis of Alzheimer disease. AJNR Am J Neuroradiol 2009;30:532-38
6. Fjell AM, Amlien IK, Westlye LT, et al. Mini-mental state examination is sensitive to brain atrophy in Alzheimer's disease. Dement Geriatr Cogn Disord 2009;28:252-58
7. Henneman WJ, Sluimer JD, Barnes J, et al. Hippocampal atrophy rates in Alzheimer disease: added value over whole brain volume measures. Neurology 2009;72:999-1007
8. Zhao GJ, Li DK, Wolinsky JS, et al. Clinical and magnetic resonance imaging changes correlate in a clinical trial monitoring cyclosporine therapy for multiple sclerosis. The MS Study Group. J Neuroimaging 1997;7:1-7 (Pubitemid 27069163)
9. Barnes J, Ridgway GR, Bartlett J, et al. Head size, age and gender adjustment in MRI studies: a necessary nuisance? Neuroimage 2010;53:1244-55
10. 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;46:177-92
11. Pengas G, Pereira JM, Williams GB, et al. Comparative reliability of total intracranial volume estimation methods and the influence of atrophy in a longitudinal semantic dementia cohort. J Neuroimaging 2009;19:37-46
12. Ambarki K, Wåhlin A, Birgander R, et al. MR imaging of brain volumes: evaluation of a fully automatic software. AJNR Am J Neuroradiol 2011;32:408-12
13. Warntjes JB, Dahlqvist O, Lundberg P. Novel method for rapid, simultaneous T1, T2*, and proton density quantification. Magn Reson Med 2007;57:528-37 (Pubitemid 46385863)
14. Warntjes JB, Leinhard OD, West J, et al. Rapid magnetic resonance quantification on the brain: optimization for clinical usage. Magn Reson Med 2008;60:320-29
15. Ambarki K, Israelsson H, Wåhlin A, et al. Brain ventricular size in healthy elderly: comparison between Evans index and volume measurement. Neurosurgery 2010;67:94-99, discussion 99
16. West J, Warntjes JB, Lundberg P. Novel whole brain segmentation and volume estimation using quantitative MRI. Eur Radiol 2012;22:998-1007
17. Lehmann M, Douiri A, Kim LG, et al. Atrophy patterns in Alzheimer's disease and semantic dementia: a comparison of FreeSurfer and manual volumetric measurements. Neuroimage 2010;49:2264-74
18. Buckner RL, Head D, Parker J, et al. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage 2004;23:724-38 (Pubitemid 39370623)
19. Keihaninejad S, Heckemann RA, Fagiolo G, et al. A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T). Neuroimage 2010;50:1427-37
20. Ashburner J, Friston KJ. Unified segmentation. Neuroimage 2005;26:839-51 (Pubitemid 40825026)
21. West J, Warntjes JB, Lundberg P. Segmentation and volume estimation on a sub-voxel basis using quantitative MR: a validation study. In: Proceedings of the 18th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Stockholm, Sweden. May 1-7, 2010:3898
22. Heister D, Brewer JB, Magda S, et al. Predicting MCI outcome with clinically available MRI and CSF biomarkers. Neurology 2011;77:1619-28
23. Brewer JB, Magda S, Airriess C, et al. Fully-automated quantification of regional brain volumes for improved detection of focal atrophy in Alzheimer disease. AJNR Am J Neuroradiol 2009;30:578-80