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Tissue-Based MRI Intensity Standardization : Application to Multicentric Datasets
Joint Authors
Crépeault, Burt
Mouiha, Abderazzak
The Alzheimer's Disease Neuroimaging Initiative,
Valdivia, Fernando
Duchesne, Simon
Robitaille, Nicolas
Source
International Journal of Biomedical Imaging
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Intensity standardization in MRI aims at correcting scanner-dependent intensity variations.
Existing simple and robust techniques aim at matching the input image histogram onto a standard, while we think that standardization should aim at matching spatially corresponding tissue intensities.
In this study, we present a novel automatic technique, called STI for STandardization of Intensities, which not only shares the simplicity and robustness of histogram-matching techniques, but also incorporates tissue spatial intensity information.
STI uses joint intensity histograms to determine intensity correspondence in each tissue between the input and standard images.
We compared STI to an existing histogram-matching technique on two multicentric datasets, Pilot E-ADNI and ADNI, by measuring the intensity error with respect to the standard image after performing nonlinear registration.
The Pilot E-ADNI dataset consisted in 3 subjects each scanned in 7 different sites.
The ADNI dataset consisted in 795 subjects scanned in more than 50 different sites.
STI was superior to the histogram-matching technique, showing significantly better intensity matching for the brain white matter with respect to the standard image.
American Psychological Association (APA)
Robitaille, Nicolas& Mouiha, Abderazzak& Crépeault, Burt& Valdivia, Fernando& Duchesne, Simon& The Alzheimer's Disease Neuroimaging Initiative,. 2012. Tissue-Based MRI Intensity Standardization : Application to Multicentric Datasets. International Journal of Biomedical Imaging،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-464615
Modern Language Association (MLA)
Robitaille, Nicolas…[et al.]. Tissue-Based MRI Intensity Standardization : Application to Multicentric Datasets. International Journal of Biomedical Imaging No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-464615
American Medical Association (AMA)
Robitaille, Nicolas& Mouiha, Abderazzak& Crépeault, Burt& Valdivia, Fernando& Duchesne, Simon& The Alzheimer's Disease Neuroimaging Initiative,. Tissue-Based MRI Intensity Standardization : Application to Multicentric Datasets. International Journal of Biomedical Imaging. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-464615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464615