Abstract: Anatomical, physiological, instrumental, and other related biases are removed from functional magnetic resonance imaging (“fMRI”) signal data using deep learning algorithms and/or models, such as a neural network. Bias characterization data are used as an auxiliary input to the neural network. The bias characterization data can be subject-specific bias characterization data (e.g., cortical thickness maps, cortical orientation angle maps, vasculature maps), hardware-specific bias characterization data (e.g., coil sensitivity maps, coil transmission profiles), or both. The subject-specific bias characterization data can be extracted from the fMRI signal data using a second neural network. The bias-reduced fMRI signal data can include time-series signals, functional activation maps, functional connectivity maps, or combinations thereof.

Abstract: Anatomical, physiological, instrumental, and other related biases are removed from functional magnetic resonance imaging (“fMRI”) signal data using deep learning algorithms and/or models, such as a neural network. Bias characterization data are used as an auxiliary input to the neural network. The bias characterization data can be subject-specific bias characterization data (e.g., cortical thickness maps, cortical orientation angle maps, vasculature maps), hardware-specific bias characterization data (e.g., coil sensitivity maps, coil transmission profiles), or both. The subject-specific bias characterization data can be extracted from the fMRI signal data using a second neural network. The bias-reduced fMRI signal data can include time-series signals, functional activation maps, functional connectivity maps, or combinations thereof.

Abstract: Systems and methods for performing fast multi-contrast magnetic resonance imaging (“MRI”) are provided. In general, data are acquired from both multiple echo times (“TEs”) and at multiple effective inversion times (“TIs”). Following the application of a magnetization preparation radio frequency (“RF”) pulse, a plurality of different multi-echo acquisitions are performed, thereby acquiring data from multiple different TEs during different portions of the longitudinal magnetization recovery curve. Data acquisition in these inner encoding loops (i.e., during each multi-echo acquisition) can be accelerated to efficiently provide for the acquisition of multiple contrasts in the time normally required to acquire a single contrast.

Abstract: Systems and methods for performing fast multi-contrast magnetic resonance imaging (“MRI”) are provided. In general, data are acquired from both multiple echo times (“TEs”) and at multiple effective inversion times (“TIs”). Following the application of a magnetization preparation radio frequency (“RF”) pulse, a plurality of different multi-echo acquisitions are performed, thereby acquiring data from multiple different TEs during different portions of the longitudinal magnetization recovery curve. Data acquisition in these inner encoding loops (i.e., during each multi-echo acquisition] can be accelerated to efficiently provide for the acquisition of multiple contrasts in the time normally required to acquire a single contrast.

Abstract: Embodiments of the invention provide a system and method for administering a pharmaceutical to an individual through a dispenser control system. Input data is acquired from an input device coupled to a controller of the dispenser control system. The controller is in communication with the input device and configured to execute a stored program to calibrate pump settings of the dispenser control system based on the acquired input data. The stored program also computes a delivery schedule based on the pump settings for the individual and activates the dispenser control system to deliver at least one dose of the pharmaceutical according to the delivery schedule. The delivery schedule is characterized by a waveform other than a square-wave.

Abstract: A system and method for automatic detection of potential focal cortical dysplasias through magnetic resonance imaging. The method includes acquiring image data of a subject brain at a first resolution, analyzing the acquired image data to determine a thickness of cerebral gray matter, and matching the left cerebral hemisphere to the right cerebral hemisphere based on corresponding geometric features of the hemispheres. The method also includes generating a difference map comparing corresponding thicknesses of the hemispheres, identifying regions of abnormal differences in thickness as potential regions containing focal cortical dysplasias, and acquiring image data of the regions of abnormal differences in thickness at a second resolution. The method further includes generating images of the regions of abnormal differences in thickness from the acquired image data and displaying the images.

Abstract: A system and method for performing an MRI or MRS scan that is optimized for a particular target structure. A prescan is conducted during a first session in which an image that is optimized for segmentation is acquired along with an alignment scout image or a 2D or 3D navigator signal. The segmentation process is employed to locate and define the target structure. During a second session the alignment scout image or navigator signal is reacquired and the information is used to determine the position transformation needed to align images from the two sessions. The position transformation information and the segmentation information are then employed to tailor a prescribed pulse sequence to examine the target structure.

Abstract: A system and method for medical imaging includes an improvement to the MP-RAGE pulse sequence that enables the readout bandwidth thereof to be matched to that of other pulse sequences used in the same examination without a significant loss in SNR. More specifically, the present invention includes using a multi-echo MP-RAGE pulse sequence in which multiple gradient-recalled NMR signals are acquired at the desired “matching” bandwidth and combining selected ones of the NMR signals to reconstruct an image. By selecting and combining NMR signals acquired at each phase encoding, the SNR of the resulting reconstructed image can be maintained.

Abstract: A system and method for medical imaging includes an improvement to the MP-RAGE pulse sequence that enables the readout bandwidth thereof to be matched to that of other pulse sequences used in the same examination without a significant loss in SNR. More specifically, the present invention includes using a multi-echo MP-RAGE pulse sequence in which multiple gradient-recalled NMR signals are acquired at the desired “matching” bandwidth and combining selected ones of the NMR signals to reconstruct an image. By selecting and combining NMR signals acquired at each phase encoding, the SNR of the resulting reconstructed image can be maintained.

Abstract: A system and method for performing an MRI or MRS scan that is optimized for a particular target structure. A prescan is conducted during a first session in which an image that is optimized for segmentation is acquired along with an alignment scout image or a 2D or 3D navigator signal. The segmentation process is employed to locate and define the target structure. During a second session the alignment scout image or navigator signal is reacquired and the information is used to determine the position transformation needed to align images from the two sessions. The position transformation information and the segmentation information are then employed to tailor a prescribed pulse sequence to examine the target structure.