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Abstract #0411

Automated Organ Detection in Water-Fat Separated Magnetic Resonance Imaging

Thomas Demarcy 1 , Axel Saalbach 2 , and Julien Sngas 2

1 Ecole des Mines, Saint-Etienne, France, 2 Philips Research Laboratories, Hamburg, Germany

To cope with todays healthcare challenges of providing cost-effective care with constant quality, advanced image analysis techniques that automatically extract anatomical information from complex, large image datasets are required. In this work, computer vision techniques based on trained classifiers and Haar-like features were extended to 3D and applied to automatically detect and localize a number of target organs in 3D water-fat separated, whole-body MR images. The benefit of using the joint information provided by water and fat separation was investigated.

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