NeuroQ™ has been developed to aid in the assessment of human brain scans through quantification of mean pixel values lying within standardized regions of interest, and to provide quantified comparisons with brain scans derived from FDG-PET studies of defined groups having no identified neuropsychiatric disease or symptoms, i.e., asymptomatic controls (AC). The Program provides automated analysis of brain PET scans, with output that includes quantification of relative activity in 240 different brain regions, as well as measures of the magnitude and statistical significance with which activity in each region differs from mean activity values of brain regions in the AC database. The program can be used to compare activity in brain regions of individual scans between two studies from the same patient, between symmetric regions of interest within the brain PET study, and to perform an image fusion of the patients PET and CT data. The program can also be used to for assisting in the assessment of prognosis in patients undergoing dementia evaluation with respect to the likelihood of progression of symptomatic disease, to provide analysis of amyloid uptake levels in the brain, and to evaluate and to provide a quantitative analysis of uptake levels in basal ganglia structures of the brain. The program processes the studies automatically, however, user verification of output is required and manual processing capability is provided.
A software application intended to be used to receive, collect, store, and display a broad range of medical imaging and/or video data, and to distribute the data within or between healthcare facilities to facilitate data analysis, organization, reporting, and sharing (e.g., teaching); it might be designed for holographic viewing of three-dimensional (3-D) images in conjunction with an appropriate headset or for real-time communication of diagnostic/surgical images, and might also enable the control of light settings of a device (e.g., microscope) for image acquisition.