1. A method (200) reduction of localized artifacts in the imaging data, the method comprising the steps of: segmenting (212) the visualization data for identifying one or more intended regions (216) in the imaging data, which is expected near the localized appearance of artifact is determined (220) containing artifacts region of interest (222) in the data visualization around each intended area determining (224) one or more classes for the visualization of data containing artifacts of areas of interest and link (226), each class with at least one representative of the visualization value include (228), each element data visualization within containing artifacts areas to one of the classes, determining (230) the local box (232) displacement within containing artifacts fields describing each element of data visualization within containing artifacts regions the difference between the computed visualization value and representative visualization of the value on the basis of the classification displayed, the (234) local field bias to visualize data within areas containing artifacts for data acquisition (236) imaging correction artefaktov.2. The method of claim 1, wherein the segmentation step comprises the step of apply one or more thresholds to data vizualizatsii.3. A method according to Claim. 1 further comprising at least two classes of imaging data for regions of interest containing artifacts, mutually defined minimum and maximum values klassov.4. The method of claim 3, further comprising determining a number of classes and the minimum and maxi1. Способ (200) уменьшения локализованных артефактов в данных визуализации, причем способ содержит этапы, на которых:сегментируют (212) данные визуализации для идентификации одной или более предполагаемых областей (216) в данных визуализации, рядом с которыми ожидается появление локализованных артефактовопределяют (220) содержащую артефакты интересующую область (222) в данных визуализации вокруг каждой предполагаемой областио
