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Contrast-Independent Liver-Fat Quantification from Spectral CT Exams
Paulo R.S. Mendonça1, Peter Lamb1, Andras Kriston2, Kosuke Sasaki3, Masayuki Kudo3, and Dushyant V. Sahani4
1GE Global Research, One Research Circle, Niskayuna, NY 12309, USA
mendonca@ge.com
peter.lamb@ge.com
2GE Healthcare, Szikra u.2, Szeged, 6725, Hungary
a.kriston@ge.com
3GE Healthcare Japan, 4-7-127, Asahigaoka, Hino-shi, Tokyo, Japan
kosuke.sasaki@ge.com
masayuki.kudo@ge.com
4Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
dsahani@partners.org
Abstract. The diagnosis and treatment of fatty liver disease requires accurate quantification of the amount of fat in the liver. Image-based methods for quantification of liver fat are of increasing interest due to the high sampling error and invasiveness associated with liver biopsy, which despite these difficulties remains the gold standard. Current computed tomography (CT) methods for liverfat quantification are only semi-quantitative and infer the concentration of liver fat heuristically. Furthermore, these techniques are only applicable to images acquired without the use of contrast agent, even though contrast-enhanced CT imaging is more prevalent in clinical practice. In this paper, we introduce a method that allows for direct quantification of liver fat for both contrast-free and contrastenhanced CT images. Phantom and patient data are used for validation, and we conclude that our algorithm allows for highly accurate and repeatable quantification of liver fat for spectral CT.
LNCS 8149, p. 324 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013