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Abstract #3384

Single Point Dixon Reconstruction of Whole-Body Scans Using a Convolutional Neural Network

Jonathan Andersson1, Håkan Ahlström1,2, and Joel Kullberg1,2

1Department of Radiology, Uppsala University, Uppsala, Sweden, 2Antaros Medical, BioVenture Hub, Mölndal, Sweden

Reconstructions of water and fat images are clinically useful for removing obscuring fat signal. It can also be useful in for example obesity related research, measuring for example different adipose depot volumes. Normally reconstructions would be performed using at least two echos, which requires about twice as much time as collecting a single echo. Therefore, using only a single echo would reduce the required scan time drastically. In this abstract a method for reconstruction of water and fat images from a single echo is introduced, using a convolutional neural network. We conclude from visual evaluation that the results are promising.

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