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Nuclear Magnetic Resonance (NMR) Fingerprinting Tissue Classification And Image Segmentation

  • US 20150301141A1
  • Filed: 04/21/2014
  • Published: 10/22/2015
  • Est. Priority Date: 04/21/2014
  • Status: Active Application
First Claim
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1. A method, comprising:

  • accessing a set of known signal evolutions;

    accessing an acquired nuclear magnetic resonance (NMR) signal, where the acquired NMR signal is acquired from a volume that contains one or more resonant species that simultaneously produced individual NMR signals in response to magnetic resonance fingerprinting (MRF) excitation;

    finding a selected entry in the set of known signals that matches the acquired NMR signal;

    identifying one or more magnetic resonance (MR) parameters for the volume based on stored MR parameters associated with the selected entry, where the one or more MR parameters include T1 relaxation associated with the resonant species, T2 relaxation associated with the resonant species, off-resonance relaxation associated with the resonant species, and diffusion weighted relaxation associated with the resonant species, T1 being spin-lattice relaxation, T2 being spin-spin relaxation, andassigning the volume that produced the acquired NMR signal to a cluster in a plurality of clusters based on the one or more MR parameters.

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