Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile
Arboleda C., Aguirre-Reyes D., García M.P., Tejos C., Muñoz L., Miquel J.F., Irarrázaval P., Andia M.E. and Uribe S. (2016)

Total Liver Fat Quantifi cation Using Three-Dimensio nalRespiratory Self-Navigated MRI Sequence

Revista : Magnetic Resonance Imaging
Volumen : 76
Número : 5
Páginas : 1400-1409
Tipo de publicación : ISI Ir a publicación


Purpose MRI can produce quantitative liver fat fraction (FF) maps noninvasively, which can help to improve diagnoses of fatty liver diseases. However, most sequences acquire several two-dimensional (2D) slices during one or more breath-holds, which may be difficult for patients with limited breath-holding capacity. A whole-liver 3D FF map could also be obtained in a single acquisition by applying a reliable breathing-motion correction method. Several correction techniques are available for 3D imaging, but they use external devices, interrupt acquisition, or jeopardize the spatial resolution. To overcome these issues, a proof-of-concept study introducing a self-navigated 3D three-point Dixon sequence is presented here.MethodsA respiratory self-gating strategy acquiring a center k-space profile was integrated into a three-point Dixon sequence. We obtained 3D FF maps from a water-fat emulsions phantom and fifteen volunteers. This sequence was compared with multi-2D breath-hold and 3D free-breathing approaches.ResultsOur 3D three-point Dixon self-navigated sequence could correct for respiratory-motion artifacts and provided more precise FF measurements than breath-hold multi-2D and 3D free-breathing techniques.ConclusionOur 3D respiratory self-gating fat quantification sequence could correct for respiratory motion artifacts and yield more-precise FF measurements.