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Abstract #4743

COnstrained Data Extrapolation (CODE): A New Approach for High Resolution MR Angiographic Image Reconstruction.

Yang Song1, Ehsan Hamtaei2, Guang Yang1, Haibin Xie1, and Mark Haacke1,2,3

1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People's Republic of China, 2Magnetic Resonance Innovations, Inc., Detroit, MI, United States, 3Radiology, Wayne State University, Detroit, MI, United States

We propose a “COnstrained Data Extrapolation” (CODE) algorithm to reconstruct high-resolution MRA images from k-space with a lower resolution thereby accelerating acquisition of the data. We found that CODE can estimate a 50% (70%) stenosis of a vessel with a diameter equal to 7 (10) pixels in the high-resolution image to within 5% of the correct result when the SNR=4:1 or better. Both phantom simulations and in-vivo 3D contrast enhanced MRA data demonstrate that CODE is robust to noise and can be used to speed up conventional data acquisition by a factor of four.

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