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Abstract #1582

Example based brain MRI synthesis

Qing He 1 , Snehashis Roy 1 , Amod Jog 2 , and Dzung L Pham 1

1 Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, United States, 2 Dept. of Computer Science, The Johns Hopkins University, Baltimore, Maryland, United States

An example based brain MRI synthesis method is proposed. No physical simulation of the image acquisition is involved and the synthesis is purely based on an example MR image. Patch based regression is used to predict the image based on anatomical models constructed from segmentation fusion. Results show that the synthetic images generated by our method are more realistic looking than those from the physics based methods.

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