processing component, which processes images based on iterative reconstruction algorithm with smoothing and / or noise reduction algorithm and method

摘要

abstract processing component, which processes images based on iterative reconstruction algorithm with noise regularization and / or reduction algorithm and method one processing component (122) processes images based on an iterative reconstruction algorithm with regularization and / or noise reduction. the processing component includes a fixed point determiner (224) which determines a quality fixed point (216) between predetermined lower and upper quality limits (226) based on a quality variable (228) indicative of a quality of image of interest. the processing component further includes a comparator 214 which compares, with iteration processing, a quality metric of a current generated image to a fixed quality point and generates a difference value indicative of a difference between the quality metric and the fixed point of quality. The processing component further includes a smoothing factor updater (220) that generates an updated smoothing factor for a subsequent processing iteration based on a smoothing factor current value (222) and at least the quality metric , in response to the difference value indicating that the quality metric is outside a predetermined range from the fixed quality point.