Technical Development and Optimization for Random Matrix Theory-Based Magnetic Resonance Imaging

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Technical Development and Optimization for Random Matrix Theory-Based Magnetic Resonance Imaging

Brief description of study

The objective of this study is to develop new image reconstruction methods, sequences and postprocessing methods based on random-matrix-theory noise removal, for use in up to 7T imaging and at lower field strengths. We hypothesize that these new imaging techniques will allow better identification and differentiation than current conventional methods.

Clinical Study Identifier: s19-01771

Principal Investigator: Els Diane Tonia Fieremans.

Other Investigators: Dmitry Novikov, Jelle Veraart, Benjamin Ades-aron, Timothy Michael Shepherd, Santiago Coelho.

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