Automatic determination of the regularization coefficient for iterative image reconstruction using the regularization and / or image noise removal

摘要

The processing component (122) processes the image based on an iterative reconstruction algorithm using a regularization and / or denoising algorithm. The processing component determines a quality set point (216) between a predetermined lower and upper limit (226) based on a quality variable (228) indicating the image quality in question, a set point determiner (224) including. The processing component compares the quality metric and the quality set point of the currently generated image at each processing iteration and generates a difference value indicative of the difference between the quality metric and the quality set point. ). The processing component is responsive to a difference value indicating that the quality metric is outside a predetermined range for the quality set point, and for the next processing iteration based on the current value (222) of the regularization factor and at least the quality metric. A regularization coefficient updater (220) that generates the regularization coefficient updated to