Abstract: Reducing noise and dose (radiation or contrast) for perfusion imaging in Computed Tomography Perfusion (CTP), Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT), and Magnetic Resonance Imaging (MRI) medical scanning devices by using a k-space based method. The time sequence of images from the scanner data set is converted as necessary, such as using a 2D Fast Fourier Transform (FFT), into a k-space having multiple timeframes. View-shared averaging is performed to reduce noise and preserve spatial and temporal resolutions of CTP, PET, SPECT and MRI data by progressively increasing the number of time frames for view-shared averaging for more distant regions of “k-space”, before converting the data, such as through a 2D FFT into a time sequence of noise reduced images.

Abstract: A low-dose CT imaging system and method that operates according to a pulsed X-ray emission scheme according to a predefined sequence of rotation angles of the X-ray source, along with image reconstruction algorithms to achieve high spatial and temporal resolution for CT scans. The systems and methods involve high speed switching (on the order of milliseconds) to generate pulsed exposure of X-ray radiation to the patient, reducing radiation dose by 4-8 fold, or more.

Abstract: A method for non-contrast enhanced 4D time resolved dynamic magnetic resonance angiography using arterial spin labeling of blood water as an endogenous tracer and a multiphase balanced steady state free precession readout is presented. Imaging can be accelerated with dynamic golden angle radial acquisitions and k-space weighted imaging contrast (KWIC) image reconstruction and it can be used with parallel imaging techniques. Quantitative tracer kinetic models can be formed allowing cerebral blood volume, cerebral blood flow and mean transit time to be estimated. Vascular compliance can also be assessed using 4D dMRA by synchronizing dMRA acquisitions with the systolic and diastolic phases of the cardiac cycle.