Abstract: Described here are systems and methods for imaging blood flow in a subject's vasculature, which may include small blood vessels, using ultrasound without the need for a contrast agent. A locally implemented low-rank matrix decomposition is used together with adaptive cutoff values to provide noninvasive ultrasound blood flow imaging capable of imaging the subject's vasculature with very high spatial and temporal resolution, and without the administration of contrast agents such as microbubble contrast agents. Thus, in some instances the systems and methods can be used to image blood flow in small vessels and tissue microvasculature with high spatial and temporal resolution.

Abstract: Described here are systems and methods for imaging blood flow in a subject's vasculature, which may include small blood vessels, using ultrasound without the need for a contrast agent. A locally implemented low-rank matrix decomposition is used together with adaptive cutoff values to provide noninvasive ultrasound blood flow imaging capable of imaging the subject's vasculature with very high spatial and temporal resolution, and without the administration of contrast agents such as microbubble contrast agents. Thus, in some instances the systems and methods can be used to image blood flow in small vessels and tissue microvasculature with high spatial and temporal resolution.

Abstract: Projection data acquired with an x-ray CT system is filtered using a bilateral filter to reduce image noise and enable the acquisition at lower x-ray dose without the loss of image diagnostic quality. The bilateral filtering is performed before image reconstruction by producing a noise equivalent data set from the acquired projection data and then converting the bilateral filtered values back to a projection data set suitable for image reconstruction.

Abstract: Methods, systems, and apparatuses for non-convex prior image constrained compressed sensing are disclosed. In one embodiment, a method is provided for iterative image reconstruction for medical imaging applications which employ a prior image to constrain the reconstruction process allowing the use of fewer high SNR samples or complete but lower SNR samples. The objective function made use of non-convex compressed sensing methods during the iterative reconstruction process. Applications include, but are not limited to radiation dose reduction and fast image acquisition.

Abstract: Methods, systems, and apparatuses for non-convex prior image constrained compressed sensing are disclosed. In one embodiment, a method is provided for iterative image reconstruction for medical imaging applications which employ a prior image to constrain the reconstruction process allowing the use of fewer high SNR samples or complete but lower SNR samples. The objective function made use of non-convex compressed sensing methods during the iterative reconstruction process. Applications include, but are not limited to radiation dose reduction and fast image acquisition.