An Empirical Data Inconsistency Metric (DIM) Driven CT Image Reconstruction Method

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

An Adaptive Image Reconstruction Method an Adaptive Image Reconstruction Method

A new adaptive regression type of image destriping method is introduced to reconstruct missing lines in mul-tispectral images. The method uses available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data. The reconstruction is based on two mutually competing adaptive regression models from which the locally optimal predictor is selected.

image reconstruction from incomplete data

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An Evolutionary Approach to CT Image Reconstruction *

There is presented an evolutionary approach to the problem of CT image reconstruc tion: a genetic algorithm is used to reconstruct a CT image from a limited number of projection data, where conventional methods (e.g. Algebraic Reconstruction Techniques ART) solution tends to be unsatisfactory. We use traditional as well as adapted genetic operators in our evolutionary ap proach to the CT image ...