Quantitative Liver T1 mapping techniques are becoming more prevalent in the clinic, for the diagnosis and prognosis of various liver diseases. However, time pressure and technique complexity can often lead to incorrect acquisition due to sub-optimal slice location. We implement a faster Region Proposal CNN for the detection of multiple organs in the body, and report back the findings promptly via a local user interface, to inform the radiographers if they need to re-acquire. We show that this network has a high localisation accuracy and high speed, such that it will be applicable in the clinical environment.
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