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Abstract #1517

Evaluation of convex programming for super-resolution MRI reconstruction using shifted slice acquisitions

Onur Afacan1, Ali Gholipour1, Benoit Scherrer1, and Simon K. Warfield1

1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States

Super-resolution methods have recently became popular due to their ability to generate isotropic high resolution images from multiple low resolution acquisitions. In this work, we developed and evaluated a convex programming solution to the super-resolution reconstruction and applied it to combine shifted thick slice T2 images into images with isotropic resolution. With this formulation, using phantom and volunteer experiments, we show that, it is possible to generate high resolution images with better resolution and accuracy compared to the previously developed methods.

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