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Abstract #2953

Deep learning-based saturation band placement in spine localizer images

Ashish Saxena1, Chitresh Bhushan2, Soumya Ghose2, Patil Uday1, Kameswari Padmanabhan3, Sanjay NT3, and Dattesh Shanbhag3
1GE Research, Bengaluru, India, 2GE Research, Niskayuna, NY, United States, 3GE Healthcare, Bengaluru, India

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Visualization, workflowSaturation band placement is important for obtaining good quality MRI images in presence of structures which can generate artifacts such as cardiac regions or large pulsating blood vessels. In anatomy such as spine, saturation-band placement can be time consuming since technologist has to ensure that it doesn’t overlap with vertebrae regions. In this study, we demonstrated an automated deep-learning method to accurately place the saturation band on 2D three-plane localizer images with no intervention from the technologist.

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Keywords