Comparison of manual and automatic section positioning of brain MR images

Radiology

Volumn 239, Issue 1, 2006, Pages 246-254

  Benner, Thomas ^a   Wisco, Jonathan J ^a   Van Der Kouwe, André J W ^a   Fischl, Bruce ^a,b   Vangel, Mark G ^a   Hochberg, Fred H ^a   Sorensen, A Gregory ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANALYSIS OF VARIANCE; ANALYTICAL ERROR; APPARATUS; ARTICLE; AUTOMATION; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REPRODUCIBILITY; VARIANCE;

ADULT; AGED; AGED, 80 AND OVER; BRAIN DISEASES; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PROSPECTIVE STUDIES;

EID: 33645115230     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2391050221     Document Type: Article

References (25)

1. Smith JJ, Sorensen AG, Thrall JH. Biomaker's in imaging: realizing radiology's future. Radiology 2003;227:633-638.
2. Gawne-Cain ML, Webb S, Tofts P, Miller DH. Lesion volume measurement in multiple sclerosis: how important is accurate repositioning? J Magn Meson Imaging 1996;6:705-713.
3. Goodkin DE, Ross JS, Medendorp SV, Konecsni J, Rudick SA. Magnetic resonance imaging lesion enlargement in multiple sclerosis: disease-related activity, chance occurrence, or measurement artifact? Arch Neurol 1992;49:261-263.
4. Molyneux PD, Tofts PS, Fletcher A, et al. Precision and reliability for measurement of change in MRI lesion volume in multiple sclerosis: a comparison of two computer assisted techniques. J Neurol Neurosurg Psychiatry 1998;65:42-47.
5. Filippi M, Marciano N, Capra R, et al. The effect of imprecise repositioning on lesion volume measurements in patients with multiple sclerosis. Neurology 1997;49:274-276.
6. Filippi M, Horsfield MA, Tofts PS, Barkhof F, Thompson AJ, Miller DH. Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis. Brain 1995;118:1601-1612.
7. Rovaris M, Gawne-Cain ML, Somiani MP, Miller DH, Filippi M. The effect of repositioning on brain MRI lesion load assessment, in multiple sclerosis: reliability of subjective quality criteria. J Neurol 1998;243:273-273.
8. Plante E, Turkstra L. Sources of error in the quantitative analysis of MRI scans. Magn Reson Imaging 1991;9:389-395.
9. 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.
10. Clarke LP, Velthuizen RP, Clark M, et al. MRI measurement of brain tumor response: comparison of visual metric and automatic segmentation. Magn Reson Imaging 1998; 10:271-279.
11. Husband JE, Schwartz LH, Spencer J, et al. Evaluation of the response to treatment of solid tumours: a consensus statement of the International Cancer Imaging Society. Br J Cancer 2004;90:2256-2260.
12. Simon JH, Scherzinger A, Raff U, Li X. Computerized method of lesion volume quantitation in multiple sclerosis: error of serial studies. AJNR Am J Neuroradiol 1997;18:580-582.
13. Tan IL, van Schijndel RA, van Walderveen MA, et al. Magnetic resonance image registration in multiple sclerosis: comparison with repositioning error and observer-based variability. J Magn Reson Imaging 2002;15: 505-510.
14. Miller DH, Barkhof F, Berry I, Kappos L, Scotti G, Thompson AJ. Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: concerted action guidelines. J Neurol Neurosurg Psychiatry 1991;54: 683-688.
15. Itti L, Chang L, Ernst T. Automatic scan prescription for brain MRI. Magn Reson Med 2001;45:486-494.
16. Gedat E, Braun J, Sack I, Bernarding J. Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images. J Magn Reson Imaging 2004;20:581-587.
17. Welch EB, Manduca A, Grimm RC, Jack CR Jr. InterScan registration using navigator echoes. Magn Reson Med 2004;52:1448-1452.
18. van der Kouwe AJ, Benner T, Fischl B, et al. On-line automatic slice positioning for brain MH imaging. Neuroimage 2005;27:222-230.
19. Fischl B, Salat DH, Busa E, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002;33:341-355.
20. Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143-156.
21. R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2005.
22. Oshio K, Panych LP, Guttmann CR. A simple noninvasive stereotactic device for routine MR head examinations. J Comput Assist Tomogr 1996;20:588-591.
23. Filippi M, Rovaris M, Sormani MP, et al. Intraobserver and interobserver variability in measuring changes in lesion volume on serial brain MR images in multiple sclerosis. AJNR Am J Neuroradiol 1998;19:685-687.
24. Molyneux PD, Tubridy N, Parker GJ, et al. The effect of section thickness on MR lesion detection and quantification in multiple sclerosis. AJNR Am J Neuroradiol 1998;19: 1715-1720.
25. Filippi M, Horsfield MA, Campi A. Mammi S, Pereira C, Comi G. Resolution-dependent estimates of lesion volumes in magnetic resonance imaging studies of the brain in multiple sclerosis. Ann Neurol 1995;38:749-754.