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Abstract #1293

Image registration with structuralized Mutual Information: application to CEST

Bian Li1, Huajun She1, Shu Zhang1, Jochen Keupp2, Ivan Dimitrov3, Albert Montillo1, Ananth Madhuranthakam1, Robert Lenkinski1, and Elena Vinogradov1

1Department of Radiology, Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Philips Research, Hamburg, Germany, 3Philips Healthcare, Gainesville, FL, United States

In image registration, mutual information (MI) has proved to be an effective similarity measure and is widely used for medical image registration. However, the MI algorithm does not consider spatial dependencies of voxels and introduces significant errors when registering images with large intensity changes, like in Z-spectral images of CEST-MRI. This abstract shows that by the incorporation of structural information the SMI algorithm demonstrates robust performance registering Z-spectral images with large and complex intensity variations.

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