Comparison of 3-point dixon imaging and fuzzy C-means clustering methods for breast density measurement Journal Article


Authors: Clendenen, T. V.; Zeleniuch-Jacquotte, A.; Moy, L.; Pike, M. C.; Rusinek, H.; Kim, S.
Article Title: Comparison of 3-point dixon imaging and fuzzy C-means clustering methods for breast density measurement
Abstract: Purpose To assess two methods of fat and fibroglandular tissue (FGT) segmentation for measuring breast MRI FGT volume and FGT%, the volume percentage of FGT in the breast, in longitudinal studies. Materials and Methods Nine premenopausal women provided one MRI per week for 4 weeks during a natural menstrual cycle for a total of 36 datasets. We compared a fuzzy c-means (FC) and a 3-point Dixon segmentation method for estimation of changes in FGT volume and FGT% across the menstrual cycle. We also assessed whether differences due to changes in positioning each week could be minimized by coregistration, i.e., the application of the breast boundary selected at one visit to images obtained at other visits. Results FC and Dixon FGT volume were highly correlated (r = 0.93, P < 0.001), as was FC and Dixon FGT% (r = 0.86, P = 0.01), although Dixon measurements were on average 10-20% higher. Although FGT measured by both methods showed the expected pattern of increase during the menstrual cycle, the magnitude, and for one woman the direction, of change varied according to the method used. Measurements of FGT for coregistered images were in close agreement with those for which the boundaries were determined independently. Conclusion The method of segmentation of fat and FGT tissue may have an impact on the results of longitudinal studies of changes in breast MRI FGT. © 2012 Wiley Periodicals, Inc. Copyright © 2012 Wiley Periodicals, Inc.
Keywords: adult; reproducibility; cluster analysis; breast; analytic method; measurement; intermethod comparison; premenopause; segmentation; normal human; adipose tissue; breast mri; longitudinal study; nuclear magnetic resonance scanner; menstrual cycle; fuzzy system; body position; whole body mri; 3-point dixon; fibroglandular tissue; fibroglandular tissue % breast density; fuzzy c-means; 3 point dixon segmentation method
Journal Title: Journal of Magnetic Resonance Imaging
Volume: 38
Issue: 2
ISSN: 1053-1807
Publisher: Wiley Blackwell  
Date Published: 2013-08-01
Start Page: 474
End Page: 481
Language: English
DOI: 10.1002/jmri.24002
PROVIDER: scopus
PUBMED: 23292922
DOI/URL:
Notes: --- - "Export Date: 1 October 2013" - "CODEN: JMRIF" - "Source: Scopus"
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  1. Malcolm Pike
    190 Pike