Takao Goto1, Hiroyuki Kabasawa1
1Global Applied Science Laboratory, GE Healthcare, Hino-shi, Tokyo, Japan
We present a new method of automated positioning of Navigator Tracker for MRI liver scans. This method analyzes 2D images acquired by usual scout scan for scan planning and the dome peak of the liver is used for the Navigator Tracker position. Following recognition of body outline and lung location, edge-base detection of the dome peak with organ-dependent constraint enabled a few seconds computation and no additional scan only for this method, resulting in workflow improvement. 51 volunteersf dataset from both SSFSE and FSPGR-base scout scan were tested offline and obtained satisfactory results.