Abstract: A method for generating magnetic resonance (MR) images of a kidney region or a brain of a subject using multinuclear magnetic resonance imaging MRI includes performing, using an MRI system, an Na-nuclei pulse sequence module to acquire a portion of a first set of MR data from the kidney or brain region of the subject and performing, using the MRI system, an H-nuclei pulse sequence module to acquire a portion of a second set of MR data from the kidney or brain region of the subject. The Na-nuclei pulse sequence module and the H-nuclei pulse sequence module may be repeated in an interleaved manner until acquisition of the first set of MR data and the second set of MR data are complete. The method further includes generating at least one Na-based image using the first set of MR data, generating at least one H-based image using the second set of MR data and displaying one or more of the at least one Na-based image and the at least one H-based image on a display.

Abstract: The present disclosure relates to methods for determining the metabolic responder status of a subject having glioblastoma (GBM) and adjusting the course of treatment accordingly. The disclosure further relates to methods of treating GBM and other EGFR-mediated cancers. The disclosure further relates to methods of identifying effective treatments for subjects having GBM.

Abstract: Methods for quickly estimating apparent diffusion coefficient probability density functions (ADC PDFs) for each image voxel are provided using a “diffusion reproducibility evaluation and measurement” (DREAM) magnetic resonance sequence. Non-diffusion-weighted (reference) images collected simultaneously have blood oxygenation level dependent (BOLD) sensitivity that can be used for resting-state fMRI data to measure functional connectivity, an unbiased parameter reflecting neurological integrity. ADC coefficient of variation (ADC CV) measurements can be used to isolate and label regions of non-enhancing tumor and predict future enhancement independent of FLAIR, T2, or average ADC maps. Functional diffusion mapping (fDMs) using voxel-wise changes in ADC PDFs can be used to spatially visualize and statistically quantify response to treatment.

Abstract: Methods for quickly estimating apparent diffusion coefficient probability density functions (ADC PDFs) for each image voxel are provided using a “diffusion reproducibility evaluation and measurement” (DREAM) magnetic resonance sequence. Non-diffusion-weighted (reference) images collected simultaneously have blood oxygenation level dependent (BOLD) sensitivity that can be used for resting-state fMRI data to measure functional connectivity, an unbiased parameter reflecting neurological integrity. ADC coefficient of variation (ADC CV) measurements can be used to isolate and label regions of non-enhancing tumor and predict future enhancement independent of FLAIR, T2, or average ADC maps. Functional diffusion mapping (fDMs) using voxel-wise changes in ADC PDFs can be used to spatially visualize and statistically quantify response to treatment.