Abstract: Aspects of the present disclosure relate to systems and methods for medical imaging that incorporate prior knowledge. Some aspects relate to incorporating prior knowledge using a non-local means filter. Some aspects relate to incorporating prior knowledge for improved perfusion imaging, such as those incorporating arterial spin labeling.

Abstract: Methods and systems are described for producing non-invasive and targeted neuronal lesions using magnetic resonance and acoustic energy. Imaging data corresponding to a region of interest is obtained, the region of interest within an imaging subject. Information indicative of a target region within the region of interest is received from the obtained imaging data. Focused acoustic energy directed to the target region within the region of interest is generated to disrupt a barrier between a therapeutic agent and parenchymal tissue in response to insonification by the focused acoustic energy, the therapeutic agent comprising a neurotoxin and microbubbles.

Abstract: A simulation is performed by assigning tissue type properties to voxels of a medical image and manipulating the voxels based on the assigned tissue type properties and an input that prompts voxel manipulation. Voxels may also be created and eliminated in response to the input. Tissue type properties may include elasticity, ductility, hardness, density, and thermal conductivity. Manipulation may include changing at least one of voxel size, location, orientation, shape, color, grayscale, and tissue type property value. The input may include insertion of a virtual volume-subtending surgical or anatomic object. Simulations may include virtual motion, deformation of tissue, and radiological dissection for pre-operative planning.

Abstract: Aspects of the present disclosure relate to magnetic resonance thermometry. In one embodiment, a method includes acquiring undersampled magnetic resonance data associated with an area of interest of a subject receiving focused ultrasound treatment, and reconstructing images corresponding to the area of interest based on the acquired magnetic resonance data, where the reconstructing uses Kalman filtering.

Abstract: A simulation is performed by assigning tissue type properties to voxels of a medical image and manipulating the voxels based on the assigned tissue type properties and an input that prompts voxel manipulation. Voxels may also be created and eliminated in response to the input. Tissue type properties may include elasticity, ductility, hardness, density, and thermal conductivity. Manipulation may include changing at least one of voxel size, location, orientation, shape, color, grayscale, and tissue type property value. The input may include insertion of a virtual volume-subtending surgical or anatomic object. Simulations may include virtual motion, deformation of tissue, and radiological dissection for pre-operative planning.

Abstract: Methods and systems are described for producing non-invasive and targeted neuronal lesions using magnetic resonance and acoustic energy. Imaging data corresponding to a region of interest is obtained, the region of interest within an imaging subject. Information indicative of a target region within the region of interest is received from the obtained imaging data. Focused acoustic energy directed to the target region within the region of interest is generated to disrupt a barrier between a therapeutic agent and parenchymal tissue in response to insonification by the focused acoustic energy, the therapeutic agent comprising a neurotoxin and microbubbles.

Abstract: Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Abstract: Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Abstract: Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Abstract: Aspects of the present disclosure relate to magnetic resonance thermometry. In one embodiment, a method includes acquiring undersampled magnetic resonance data associated with an area of interest of a subject receiving focused ultrasound treatment, and reconstructing images corresponding to the area of interest based on the acquired magnetic resonance data, where the reconstructing uses Kalman filtering.

Abstract: Aspects of the present disclosure relate to systems and methods for medical imaging that incorporate prior knowledge. Some aspects relate to incorporating prior knowledge using a non-local means filter. Some aspects relate to incorporating prior knowledge for improved perfusion imaging, such as those incorporating arterial spin labeling.

Abstract: A method includes obtaining both first inflow and first perfusion metrics for non-healthy tissue of interest, obtaining both second inflow and second perfusion metrics for healthy tissue of interest, and concurrently presenting both the first flow and perfusion metrics for the non-healthy tissue of interest and both the second flow and perfusion metrics for the healthy tissue of interest.

Abstract: A system includes a perfusion information determiner (124) that determines perfusion information based on a combination of pre-perfusion scan image data and perfusion scan image data.

Abstract: A method includes determining, via a processor, functional information about tissue of interest in image data for a functional image acquisition based on reference information generated based on non-tissue of interest.

Abstract: Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Abstract: A method includes determining, via a processor, functional information about tissue of interest in image data for a functional image acquisition based on reference information generated based on non-tissue of interest.

Abstract: A method includes obtaining both first inflow and first perfusion metrics for non-healthy tissue of interest, obtaining both second inflow and second perfusion metrics for healthy tissue of interest, and concurrently presenting both the first flow and perfusion metrics for the non-healthy tissue of interest and both the second flow and perfusion metrics for the healthy tissue of interest.

Abstract: A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.

Abstract: A system includes a perfusion information determiner (124) that determines perfusion information based on a combination of pre-perfusion scan image data and perfusion scan image data.

Abstract: A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.