Method for automatic quality control of data in in-vivo images

Abstract

A method for quality control assessment in single time-point in-vivo imaging data related to imaging of objects, includes acquiring an in-vivo image of the object with imaging apparatus, defining a background image corresponding to an imaged air of the in-vivo image, defining an object image corresponding to the in-vivo image from which the background image has been removed, obtaining the background and object images by atlas-based registration, reflecting an intensity distribution of the background image with a histogram, fitting a noise mathematical model to part of the histogram intensity distribution, deriving background quality characteristics from the noise mathematical model, reflecting an intensity distribution of the object image with a further histogram, fitting a signal mathematical model to the further histogram intensity distribution, deriving object quality characteristics from the signal mathematical model, and automatically deriving signal-to-noise and contrast-to-noise ratios of in-vivo imaging data from the object quality and background quality characteristics.