Method of data processing for Computed Tomography from a spectral image data set of an imaged zone, an anatomical image data set of the imaged zone, and an anatomical model, comprising: a. Assigning an initial set of values to a regularization scheme, 5 b. Performing a noise reduction scheme on the spectral image data set, wherein said noise reduction scheme is a function of the regularization scheme, of the spectral image data set and of the anatomical image data set, in order to obtain a processed spectral image data set, c. Performing a segmentation of structures of interest using the anatomical data set, the processed spectral image data set, and the anatomical model, in order to obtain a segmentation result, d. Updating the regularization scheme based on the segmentation result, e. Repeating step b to e, wherein the method also comprises a control step, performed when step b and c has both been performed at least once, the control step comprising checking an endloop criterion, and if the endloop criterion is met, outputting at least one of the segmentation result obtained in last iteration of step c and the processed spectral image data set obtained in the last iteration of step b.