Abstract: A method of imaging an implant device in a computing device is provided. The computing device includes a processor interconnected with a memory and a display. The method includes, at the processor: obtaining a first magnetic resonance (MR) image of a patient tissue, the first MR image containing a first magnetic field strength indicator; responsive to the implant device being inserted in the patient tissue, obtaining a second MR image of the patient tissue, the second MR image containing a second magnetic field strength indicator smaller than the first magnetic field strength indicator; registering the second MR image with the first MR image; generating a composite image from the first MR image and the second MR image; and presenting the composite image on the display.

Abstract: A method of imaging an implant device in a computing device is provided. The computing device includes a processor interconnected with a memory and a display. The method includes, at the processor: obtaining a first magnetic resonance (MR) image of a patient tissue, the first MR image containing a first magnetic field strength indicator; responsive to the implant device being inserted in the patient tissue, obtaining a second MR image of the patient tissue, the second MR image containing a second magnetic field strength indicator smaller than the first magnetic field strength indicator; registering the second MR image with the first MR image; generating a composite image from the first MR image and the second MR image; and presenting the composite image on the display.

Abstract: Systems and methods for adaptive, multi-resolution magnetic resonance imaging (“MRI”), in which an MRI scan prescription is adaptively changed to acquire high-quality data from select regions-of-interest (“ROI”) in a larger field-of-view (“FOV”), are provided. The higher quality data can include data representing higher spatial resolution, higher signal-to-noise ratio (“SNR”), increased diffusion encoding via repeated acquisition with a larger number of diffusion-encoding directions, and so on. A composite image can be generated that displays the higher quality images of the ROIs overlaid on the larger FOV.

Abstract: Systems and methods for co-registering medical images obtained with different imaging modalities are provided. For instance, images obtained with x-ray imaging, such as x-ray computed tomography (“CT”), can be co-registered with images obtained with magnetic resonance imaging (“MRI”). The different imaging modalities generate images that have different visualization characteristics for tissues; thus, in general, co-registration is accomplished by identifying different anatomical features in the different images and then utilizing a known spatial relationship between those anatomical features to co-register the different images.

Abstract: Systems and methods for adaptive, multi-resolution magnetic resonance imaging (“MRI”], in which an MRI scan prescription is adaptively changed to acquire high-quality data from select regions-of-interest (“ROI”] in a larger field-of-view (“FOV”), are provided. The higher quality data can include data representing higher spatial resolution, higher signal-to-noise ratio (“SNR”], increased diffusion encoding via repeated acquisition with a larger number of diffusion-encoding directions, and so on. A composite image can be generated that displays the higher quality images of the ROIs overlaid on the larger FOV.

Abstract: Systems and methods for providing quantitative measurements of global glymphatic flow of cerebrospinal fluid (“CSF”) using magnetic resonance imaging (“MRI”) are described. In general, images are obtained from a subject using flow-sensitive MRI techniques that are designed to be particularly sensitive to the glymphatic flow of CSF. Measures of glymphatic flow can be obtained while the subject is in an awake state and again while the subject is in a sleep state. Based on these two measurements, a biomarker that indicates a neurological state or disease can be generated.

Abstract: Systems and methods for co-registering medical images obtained with different imaging modalities are provided. For instance, images obtained with x-ray imaging, such as x-ray computed tomography (“CT”), can be co-registered with images obtained with magnetic resonance imaging (“MRI”). The different imaging modalities generate images that have different visualization characteristics for tissues; thus, in general, co-registration is accomplished by identifying different anatomical features in the different images and then utilizing a known spatial relationship between those anatomical features to co-register the different images.

Abstract: Systems and methods for providing quantitative measurements of global glymphatic flow of cerebrospinal fluid (“CSF”) using magnetic resonance imaging (“MRI”) are described. In general, images are obtained from a subject using flow-sensitive MRI techniques that are designed to be particularly sensitive to the glymphatic flow of CSF. Measures of glymphatic flow can be obtained while the subject is in an awake state and again while the subject is in a sleep state. Based on these two measurements, a biomarker that indicates a neurological state or disease can be generated.

Abstract: Systems and methods for providing quantitative measurements of global glymphatic flow of cerebrospinal fluid (“CSF”) using magnetic resonance imaging (“MRI”) are described. In general, images are obtained from a subject using flow-sensitive MRI techniques that are designed to be particularly sensitive to the glymphatic flow of CSF. Measures of glymphatic flow can be obtained while the subject is in an awake state and again while the subject is in a sleep state. Based on these two measurements, a biomarker that indicates a neurological state or disease can be generated.

Abstract: Realtime magnetic resonance imaging (MRI) uses cardiac and respiratory monitoring tools to avoid or minimize motion-induced image artifacts. A series of initial MR images are associated with the physiological data from the cardiac, respiratory, or other monitoring tools. The tools provide physiological data in conjunction with anatomic or spatial information such that the optimal gating times (i.e., for acquiring MR image data) in the cardiac and respiratory cycles can be identified and the optimal acquisition durations are identified relative to the physiological data. The process then uses MRI with the identified optimal gating times and acquisition durations to produce a high quality output image of the anatomy of interest. The high quality image can be one or more of the following: a two-dimensional (2D) with a higher signal-to-noise ratio (i.e.

Abstract: Realtime magnetic resonance imaging (MRI) uses cardiac and respiratory monitoring tools to avoid or minimize motion-induced image artifacts. A series of initial MR images are associated with the physiological data from the cardiac, respiratory, or other monitoring tools. The tools provide physiological data in conjunction with anatomic or spatial information such that the optimal gating times (i.e., for acquiring MR image data) in the cardiac and respiratory cycles can be identified and the optimal acquisition durations are identified relative to the physiological data. The process then uses MRI with the identified optimal gating times and acquisition durations to produce a high quality output image of the anatomy of interest. The high quality image can be one or more of the following: a two-dimensional (2D) with a higher signal-to-noise ratio (i.e.