Example based brain MRI synthesis
Qing He 1 , Snehashis Roy 1 , Amod Jog 2 , and Dzung L Pham 1
Henry M. Jackson Foundation for the
Advancement of Military Medicine, Bethesda, Maryland,
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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