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Abstract #3569

No more localizers: deep learning based slice prescription directly on calibration scans

Andre de Alm Maximo1, Chitresh Bhushan2, Dawei Gui3, Uday Patil4, and Dattesh D Shanbhag4
1GE Healthcare, Rio de Janeiro, Brazil, 2GE Global Research, Niskayuna, NY, United States, 3GE Healthcare, Waukesha, WI, United States, 4GE Healthcare, Bangalore, India

In this work, we demonstrate a novel automated MRI scan plane prescription workflow by making use of the pre-scan calibrations scans to generate prescription planes for knee MRI planning. Using large-FOV, low-resolution 3D calibration data, we find the meniscus plane with very-high accuracy (angle error = 0.76, distance error = 0.07 mm). The approach obviates the need to acquire any localizer images with potential benefits: (1) avoiding subsequent retakes for correct planning of plane prescription; (2) reducing total scan time; and (3) easing the MRI scanning experience for both patient and technologist by enabling single push scan.

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