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Abstract #0015

T1 Map Reconstruction from Under-Sampled KSpace Data Using a Similarity Constraint

Mohammad H. Kayvanrad1, A. Jonathan McLeod1, John S. H. Baxter1, Charles A. McKenzie1, Terry M. Peters1

1Robarts Research Institute, The University of Western Ontario, London, Ontario, Canada

The similarity between images, in problems involving multiple acquisitions with different imaging parameters, is used as an additional reconstruction constraint beside sparity to further increase the quality of reconstruction/k-space under-sampling. This is of particular interest in reconstruction of T1/T2 maps. From a clinical perspective, this means a reduction in acquisition time.