title: Contrast-independent liver-fat quantification from spectral CT exams.
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 liver-fat 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 contrast- enhanced 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.
authors: GE Global Research, One Research Circle, Niskayuna, NY 12309, USA. mendonca@ge.com
authors: Paulo R S
authors: PR
authors: Mendonça
authors: GE Global Research, One Research Circle, Niskayuna, NY 12309, USA.
authors: Peter
authors: P
authors: Lamb
authors: GE Healthcare, Szikra u.2, Szeged, 6725, Hungary.
authors: Andras
authors: A
authors: Kriston
authors: GE Healthcare Japan, 4-7-127, Asahigaoka, Hino-shi, Tokyo, Japan.
authors: Kosuke
authors: K
authors: Sasaki
authors: GE Healthcare Japan, 4-7-127, Asahigaoka, Hino-shi, Tokyo, Japan.
authors: Masayuki
authors: M
authors: Kudo
authors: Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
authors: Dushyant V
authors: DV
authors: Sahani
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D050154:Adiposity; D000465:Algorithms; D003287:Contrast Media; D005234:Fatty Liver / Q000000981:diagnostic imaging*; D006801:Humans; D008099:Liver / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media