Significados de iterative image en inglés

Statistically based iterative image reconstruction methods have been developed for emission tomography.

In our previous work, we have investigated optimal interpolation parameters for the Fourier-based forward and back-projectors for iterative image reconstruction.

Purpose: The development of iterative image reconstruction algorithms for cone-beam computed tomography (CBCT) remains an active and important research area.

One important component in iterative image reconstruction is the system matrix, which defines the mapping from the image space to the data space.

This paper analyses the effect of errors in the system matrix on iterative image reconstruction methods that are based on the maximum a posteriori principle.

In this work, two variants of the fast iterative shrinkage thresholding algorithm (FISTA) are proposed and investigated for accelerated iterative image reconstruction in CBCT.

Iterative image estimation methods have been widely used in emission tomography.

Iterative image reconstruction algorithms play an increasingly important role in modern tomographic systems, especially in emission tomography.