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Abstract #4147

APIR4EMC: Autocalibrated Parallel Imaging Reconstruction for Extended Multi-Contrast Imaging

Chaoping Zhang1,2, Alexandra Cristobal-Huerta2, Juan Antonio Hernandez-Tamames2, Stefan Klein1,2, and Dirk H.J. Poot1,2

1Departments of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands, 2Departments of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands

Multi-contrast images of the same region are routinely acquired in clinical MRI. This abstract proposes a fast reconstruction method for multi-contrast imaging: Autocalibrated Parallel Imaging Reconstruction for Extended Multi-Contrast (APIR4EMC). Unlike conventional parallel imaging (GRAPPA) which reconstructs the image for individual contrast, APIR4EMC additionally includes the inter-contrast signals in the prediction of unsampled positions in the k-space of each contrast and simultaneously reconstructs images for all contrasts. Experiments show significant improvement of APIR4EMC compared to conventional parallel imaging in terms of artifacts and SNR.

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