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Contrast-independent liver-fat quantification from spectral CT exams.
Mendonça, Paulo R S; Lamb, Peter; Kriston, Andras; Sasaki, Kosuke; Kudo, Masayuki; Sahani, Dushyant V.
Afiliación
  • Mendonça PR; GE Global Research, One Research Circle, Niskayuna, NY 12309, USA. mendonca@ge.com
  • Lamb P; GE Global Research, One Research Circle, Niskayuna, NY 12309, USA.
  • Kriston A; GE Healthcare, Szikra u.2, Szeged, 6725, Hungary.
  • Sasaki K; GE Healthcare Japan, 4-7-127, Asahigaoka, Hino-shi, Tokyo, Japan.
  • Kudo M; GE Healthcare Japan, 4-7-127, Asahigaoka, Hino-shi, Tokyo, Japan.
  • Sahani DV; Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
Med Image Comput Comput Assist Interv ; 16(Pt 1): 324-31, 2013.
Article en En | MEDLINE | ID: mdl-24505682
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.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Tejido Adiposo / Adiposidad / Hígado Graso / Hígado Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania
Buscar en Google
Añadir a Mi BVS
Imprimir
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PubMed Links

Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Tejido Adiposo / Adiposidad / Hígado Graso / Hígado Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania