23-01-2020 дата публикации
Номер: US20200022616A1
Принадлежит:
Methods and systems with Xe dynamic spectroscopy with a fitting function that includes one or more non-Lorentzians, optionally with a barrier Voigt, and signal processing for identifying cardiogenic oscillations for evaluating disease states, use in drug discovery or monitoring disease status. 1. A method of generating dynamic spectroscopy parameters , comprising:{'sup': 129', '129, 'obtaining a Xe spectrum of free induction decays (FIDs) Xe NMR signal of a gas exchange region of a lung or lungs of a subject during a breathing maneuver comprising one or more of inspiration/inhale, breath-hold or expiration/exhale;'}{'sup': 129', '129, 'fitting the obtained Xe spectrum of the FIDs with a curve fitting function, wherein the Xe spectrum is modeled with one or more non-Lorentzian line shapes; and'}{'sup': 129', '129, 'claim-text': (i) barrier amplitude, barrier chemical shift (ppm), one or more barrier full width at half maximum (FWHM)(ppm) parameters;', '(ii) gas amplitude, gas chemical shift (ppm), gas FWHM (ppm), and gas phase (degrees); and', '(iii) red blood cell (RBC) amplitude, RBC chemical shift (ppm), RBC FWHM (ppm), and RBC phase (degrees)., 'electronically generating a plurality of dynamic Xe spectral parameters based on the fitting, wherein the plurality of dynamic Xe spectral parameters include plots over time of at least one of2. The method of claim 1 , further comprising claim 1 , before the fitting and generating steps claim 1 , extracting temporal variations in Xe RBC resonance occurring at a cardiac frequency.3. The method of claim 1 , wherein the fitting is carried out with a Xe barrier resonance modeled as a Voigt line shape and Xe RBC and Xe gas-phase resonances are each modeled using a Lorentzian line shape claim 1 , and wherein the barrier resonance is characterized by both a Lorentzian FWHM parameter and a Gaussian FWHM (FWHM) (ppm) parameter.4. The method of claim 1 , further comprising adjusting amplitude “A” of the RBC amplitude plot by ...
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