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Abstract #2645

Explore the performance of compressed-SENSE accelerated 3D mDIXON on kidney of healthy subjects

Lijuan Sun1, Qingwei Song1, Meiyu Sun1, Dianxiu Ning1, Nan Zhang1, Nan Wang1, Jiazheng Wang2, and Liangjie Lin2
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

The compressed sensing (CS) technique, which implements k-space sparses ampling and iterative reconstruction algorithm, has now been widely used in acceleration of MR examinations of various anatomies and anatomical contrasts. This study aims to explore the performance of 3D water-fact imaging accelerated using a combination of compressed-sensing and sensitivity encoding on kidney of healthy subjects. Several acceleration factors of the proposed technique were compared against the traditional sensitivity-encoding technique and an acceleration factor of 2 was recommended for a balance between imaging time and image quality.

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