摘要:
A RF Excitation pulse for MRI applications has built-in saturation sidebands, thereby reducing the time for an excitation sequence. The pulse is created using the Shinnar-Le Roux (SLR) transform and designing beta-polynomials for a desired image slice excitation and for saturation of RF excitation such as by de-phasing in regions adjacent to the desired image slice. The beta-polynomials are combined and an inverse SLR transform creates the RF pulse from the combined beta-polynomial.
摘要:
A method of dynamic resonance imaging is provided. A magnetic resonance imaging excitation is applied. Data in 2 or 3 spatial frequency dimensions, and time is acquired, where an acquisition order in at least one spatial frequency dimension and the time dimension are in a pseudo-random order. The pseudo-random order and enforced sparsity constraints are used to reconstruct a time series of dynamic magnetic resonance images.
摘要:
A method of dynamic resonance imaging is provided. A magnetic resonance imaging excitation is applied. Data in 2 or 3 spatial frequency dimensions, and time is acquired, where an acquisition order in at least one spatial frequency dimension and the time dimension are in a pseudo-random order. The pseudo-random order and enforced sparsity constraints are used to reconstruct a time series of dynamic magnetic resonance images.
摘要:
Obstructive sleep apnea diagnosis based on peripheral arterial tone (PAT) and real-time magnetic resonance imaging (MRI) is provided. PAT and other physiological data are used to identify respiratory events experienced by a subject with obstructive sleep apnea. MRI images are recorded at least during the respiratory events to identify airway obstructions responsible for the sleep apnea events. The MRI images are recorded in real-time at a high frame rate during the sleep apnea events. The PAT signals and MRI images are collected while the subject is in a sleep state. PAT signals can also be used to identify sleep apnea events and trigger an MRI device to begin recording, thereby reducing the costs associated with recording extraneous and large amounts of MRI data.