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Abstract #1326

Simultaneous image super-resolution and contrast synthesis techniques applied to routine clinical magnetic resonance images of the knee for advanced automated processing of joint cartilage

Ales Neubert1, Pierrick Bourgeat1, Jose Manjon2, Craig Engstrom3, Shekhar S Chandra3, Stuart Crozier3, and Jurgen Fripp1

1AeHRC, CSIRO, Brisbane, Australia, 2ITACA institute, Universidad Polit├ęcnica de Valencia, Valencia, Spain, 3University of Queensland, Brisbane, Australia

While high resolution 3D MR images are well suited for automated cartilage segmentation in the human knee joint, they are not routinely acquired in clinical practice which limits opportunities for reliable segmentation of cartilage using automated algorithms. We propose a neural network for generating synthetic MR images with enhanced contrast and higher spatial resolution from routine, low resolution clinical knee scans. Segmentation results showed that accurate cartilage segmentation can be obtained using the synthesised images.

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