System for performing fully automatic brain tumor and tumor-aware cortex reconstructions upon receiving multi-modal MRI data (T1, T1c, T2, T2-Flair). The system outputs imaging which delineates distinctions between tumors (including tumor edema, and tumor active core), from white matter and gray matter surfaces. In cases where existing MRI model data is insufficient then the model is trained on-the-fly for tumor segmentation and classification. A tumor-aware cortex segmentation that is adaptive to the presence of the tumor is performed using labels, from which the system reconstructs and visualizes both tumor and cortical surfaces for diagnostic and surgical guidance. The technology has been validated using a publicly-available challenge dataset.

In beta emission imaging, magnetic lensing allows a lower resolution detector to detect the spatial distribution of emissions at a higher resolution. The sample is placed in a magnetic field with field lines at a given density, and the detector is placed away from the sample where the magnet field lines diverge, resulting in a lesser density. Since the beta emissions travel along the field lines, the divergence of the field lines from the sample to the detector result in lensing or magnification. Using positron attenuation tomography to detect annihilation in the detector allows for correction due to self-absorption by the sample. The correction and lensing are used together or may be used independently.

The invention pertains to advances in real-time methods in nuclear magnetic resonance by offering a new dual-frequency dynamic nuclear polarization (DNP) method that uses a microwave beam to polarize the spins of electrons and concomitantly act as a NMR transmitter.

The invention pertains to advances in real-time methods in nuclear magnetic resonance by offering a new dual-frequency dynamic nuclear polarization (DNP) method that uses a microwave beam to polarize the spins of electrons and concomitantly act as a NMR transmitter.

Methods and apparatus for predicting performance of an individual on a task, the method comprises receiving brain imaging data for the individual, wherein the brain imaging data comprises structural brain data, determining values for at least one characteristic of the structural brain data within regions of interest defined for a population of individuals having different performance levels, and predicting based on the determined values, a performance potential of the individual.

Scan time in diffusion-relaxation magnetic resonance imaging (“MRI”) is reduced by implementing time-division multiplexing (TDM). In general, time-shifted radio frequency (“RF”) pulses are used to excite two or more imaging volumes. These RF pulses are applied to induce separate echoes for each slice. Diffusion MRI data can thus be acquired with different echo times, or alternatively with the same echo time, in significantly reduced overall scan time. Multidimensional correlations between diffusion and relaxation parameters can be estimated from the resulting data.

The disclosure is directed to an Echo-Planar-Imaging (EPI) magnetic resonance imaging techniques combined with a variable-density undersampling scheme. The technique comprises generating an RF pulse, applying a switched frequency-encoding read out gradient in a variable time interval, and applying simultaneously an intermittently blipped low-magnitude phase-encoding gradient with a variable value of an integral of the phase-encoding gradient. The aforementioned steps are carried out such that the k-space is at least partially undersampled and the time interval of one read out gradient is varied depending on the integral of the phase encoding gradient, such that a ratio between the variable time interval of the read out gradient and the integral of the corresponding phase encoding gradient is kept above or at a predetermined constant value, which is related to a predetermined criteria of image quality.

Methods and systems for analyzing brain functional activity data are provided. Also provided are systems that find use in performing the present methods.

An MR Spectroscopy (MRS) system and approach is provided for measuring spectral information corresponding with propionic acid (PA), either alone or in combination with other measurements corresponding with other chemicals, to diagnose and/or monitor at least one of bacterial infection, such as associated with P. acnes, or conditions related thereto such as nociceptive pain associated with tissue acidity. An interfacing DDD-MRS signal processor receives output signals to produce a post-processed spectrum, with spectral regions corresponding with certain chemicals, including PA, then measured as biomarkers. A diagnostic processor derives a diagnostic value for each disc, and performs certain normalizations, based upon ratios of the spectral regions related to chemicals implicated in degenerative painful tissue pathology, such as PA and hypoxia markers of lactic acid (LA) and alanine (AL), and structural chemicals of proteoglycan (PG) and collagen or carbohydrate (CA).

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.