Abstract: The present disclosure provides a method for generating MRI images of a subject. The method includes accessing MRI images of the subject that have a first resolution, where each of the MRI images was acquired with a selected sampling pattern. The method further includes estimating motion between the MRI images to determine a motion transformation that corresponds to motion of the subject between the MRI images. The method further includes applying a model-based super-resolution reconstruction to the MRI images. The reconstruction accounts for the motion transformation and generates an image of the subject within the image volume that has a second resolution greater than the first resolution.

Abstract: Magnetic resonance imaging (MRI) is used to image the slow flow of cerebrospinal fluid (CSF) in subarachnoid and perivascular spaces, amongst other regions of the brain and central nervous system. The slow CSF flow imaging can be provided by using low velocity’ encoding (VENC) and an efficient data acquisition. Tailored image processing can be used to further improve the accuracy, specificity, and visualization of CSF flow dynamics.

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 a hierarchical mapping framework (“HMF”} for coil compression are provided. The HMF-based coil compression can be applied to existing coil compression algorithms to improve their performance. The receive channels associated with a coil array are divided into subgroups based on the strength of their mutual correlation. In each subgroup, one or more virtual channels are produced based on the channels not in the subgroup. The virtual channels are produced using a coil compression algorithm subject to a hierarchically semiseparable channel mixing across the subgroups. Images are reconstructed for the subgroups and then combined to produce the final image of the subject.

Abstract: Systems and methods for a hierarchical mapping framework (“HMF”} for coil compression are provided. The HMF-based coil compression can be applied to existing coil compression algorithms to improve their performance. The receive channels associated with a coil array are divided into subgroups based on the strength of their mutual correlation. In each subgroup, one or more virtual channels are produced based on the channels not in the subgroup. The virtual channels are produced using a coil compression algorithm subject to a hierarchically semiseparable channel mixing across the subgroups. Images are reconstructed for the subgroups and then combined to produce the final image of the subject.

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.