A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images

13 Apr 2020Lavanya UmapathyMahesh Bharath KeerthivasanJean-Phillipe GalonsWyatt UngerDiego MartinMaria I AltbachAli Bilgin

Motion-robust 2D Radial Turbo Spin Echo (RADTSE) pulse sequence can provide a high-resolution composite image, T2-weighted images at multiple echo times (TEs), and a quantitative T2 map, all from a single k-space acquisition. In this work, we use a deep-learning convolutional neural network (CNN) for the segmentation of liver in abdominal RADTSE images... (read more)

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