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  MR-double-zero: Can a machine discover new MRI contrasts, such as metabolite concentration?

Mueller, S., Glang, F., Herz, K., Scheffler, K., & Zaiss, M. (2022). MR-double-zero: Can a machine discover new MRI contrasts, such as metabolite concentration? In Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022).

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 Creators:
Mueller, S1, Author              
Glang, F1, Author              
Herz, K1, Author              
Scheffler, K1, Author              
Zaiss, M1, Author              
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1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: Discovery of MR contrast and/or conventional sequence parameter optimization usually requires a theoretical model to describe MR physics. Here we investigate if novel contrasts can be found by directly running numerical optimization on a real MRI scanner instead of a simulation. To this end, a derivative-free optimization algorithm is set up to repeatedly update and execute a parametrized sequence on the scanner and map the acquired signals to a given target contrast. As proof-of-principle, we show that this enables creatine concentration mapping by learning a CEST-prepared sequence, which is found solely based on known target concentrations in a phantom.

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 Dates: 2022-05
 Publication Status: Published online
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Title: Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022)
Place of Event: London, UK
Start-/End Date: 2022-05-07 - 2022-05-12

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Title: Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 0103 Start / End Page: - Identifier: -