Reliability of two techniques for assessing cerebral iron deposits with structural magnetic resonance imaging

Journal of Magnetic Resonance Imaging

Volumn 33, Issue 1, 2011, Pages 54-61

  Valdés Hernández, Maria C ^a   Jeong, Tina H ^b   Murray, Catherine ^a   Bastin, Mark E ^a   Chappell, Francesca M ^a   Deary, Ian J ^a   Wardlaw, Joanna M ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

iron deposits; MRI; multispectral segmentation; reliability; thresholding

Indexed keywords

IRON;

AGED; ARTICLE; BASAL GANGLION; BRAIN MAPPING; CEREBRAL IRON DEPOSITE; CONFIDENCE INTERVAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FLUID ATTENUATED INVERSION RECOVERY; HUMAN; IRON STORAGE; MAJOR CLINICAL STUDY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY;

ALGORITHMS; BRAIN; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRON; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; MALE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TISSUE DISTRIBUTION;

EID: 78650642785     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.22361     Document Type: Article

References (21)

1. Duckett S., Neuroradiology., In:, Lea, &, Febiger, editor. The pathology of the aging human nervous system, 1st ed. Philadelphia: Lea & Febiger: 1991.
2. Feldman HH, Maia LF, Mackenzie IRA, Forster BB, Martzke J, Woolfenden A., Superficial siderosis: a potential diagnostic marker of cerebral amyloid angiopathy in Alzheimer disease. Stroke 2008; 39: 2894-2897.
3. Imaizumi T, Chiba M, Honma T, Niwa J., Detection of hemosiderin deposition by T2*-weighted MRI after subarachnoid hemorrhage. Stroke 2003; 34: 1693-1698.
4. Slager UT, Wagner JA., The incidence, composition, and pathological significance of intracerebral vascular deposits in the basal ganglia. Neuropahology 1956; 15: 417-431.
5. Casanova MF, Araque JM., Mineralization of the basal ganglia: implications for neuropsychiatry, pathology and neuroimaging. Psychiatry Res 2003; 121: 59-87.
6. Haskins B, Leslie C., Basal ganglia mineralization in psychiatry. Biol Psychiatry 1992; 31: 752-753.
7. van Harskamp NJ, Rudge P, Cipolotti L., Cognitive and social impairments in patients with superficial siderosis. Brain 2005; 128: 1082-1092.
8. Brass SD, Chen N, Mulkern RD, Bakshi R., Magnetic resonance imaging of iron deposition in neurological disorders. Top Magn Reson Imaging 2006; 17: 31-40.
9. Cordonnier C, Al-Shahi Salman R, Wardlaw J., Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting. Brain 2007; 1988-2003.
10. Forstl H, Krumm B, Eden S, Kohlmeyer K., What is the psychiatric significance of bilateral basal ganglia mineralization. Biol Psychiatry 1991; 29: 827-833.
11. Szumowski J, Hayflick S, Gaarder K, Bas E, Schwarz E, Ergogmus D., Assessment of iron distribution in Hallevorden-Spatz syndrome using phase imaging and relaxation rate measurements. In: Proc 17th Annual Meeting ISMRM, Honolulu; 2009 (abstract 3346).
12. Gootjes L, Teipel SJ, Zebuhr Y, et al. Regional distribution of white matter hyperintensities in vascular dementia, Alzheimer's disease and healthy aging. Dement Geriatr Cogn Disord 2004; 18: 180-188.
13. Prins ND, van Straaten ECW, van Dijk EJ, et al. Measuring progression of cerebral white matter lesions on MRI: visual rating and volumetrics. Neurology 2004; 62: 1533-1539.
14. Wen W, Sachdev P., The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals. NeuroImage 2004; 22: 144-154.
15. Valdes-Hernandez MC, Ferguson KJ, Chapell F, Wardlaw JM., New multispectral data fusion technique in MRI for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. Eur Radiol 2010; 20: 1684-1691.
16. Cordonnier C, Potter GM, Jackson CA, et al. Improving inter-rater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS). Stroke 2009; 40: 94-99.
17. Jenkinson M, Bannister PR, Brady JM, Smith SM., Improved optimisation for the robust and accurate linear registration and motion correction of brain images. NeuroImage 2002; 17: 825-841.
18. Foley JD, van Dam A, Feiner SK, Hughes JF., Computer graphics: principles and practice in C, 2nd ed. New York: Addison-Wesley Professional; 1996. p 1-1200.
19. Guillermaud R, Brady M., Estimating the bias field of MR images. IEEE Trans Med Images 1997; 16: 238-251.
20. Bland JM, Altman DG., Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-310.
21. Diaz Acosta, Beatriz,. Experiments in image segmentation for automatic US license plate recognition. MSc Thesis. Virginia Polytechnic Institute and State University, Department of Computer Science, 18-6- 2004, p 104.