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Abstract #3397

A Robust Automated Scan Prescription in MRI Liver Scans

Takao Goto1, Hiroyuki Kabasawa1

1Global Applied Science Laboratory, GE Healthcare, Hino-shi, Tokyo, Japan

We present a new method of the automatic scan prescription for MRI liver scans. This method is robust for the variety of liver shape due to individuals, disease and post-surgery. 3D dataset acquired using fast T1 sequence is preprocessed and converted into 2D coronal projection images as well as previous method. To deal with the shape of deformed live, MAP estimate using local inhomogeneity and liver signal distribution was applied without any shape constraints. 45 volunteers and 12 datasets simulating deformed liver were tested and showed the satisfactory results in the position accuracy and the computation time.