Sentence examples for by an iterative image from inspiring English sources

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The anti-correlated noise in the material images is suppressed by an iterative image based statistical de-noising algorithm [11].

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The Algebraic Reconstruction Technique (ART) is an iterative image reconstruction algorithm.

After acquisition, the images were reconstructed by a combined algorithm based on Fourier rebinning (FORE) followed by 2D iterative image reconstruction using ordered-subset expectation maximization (OSEM).

In general, minimum entropy phase adjustment is implemented by an iterative solution, the image entropy decreases with the increase of iteration number until the estimate reaches an acceptable optimal convergence.

Images were reconstructed by an iterative algorithm (6 iterations, 14 subsets) resulting in 3-dimensional images consisting of 168 × 168 × 73 voxels of 4.0 × 4.0 × 3.0 mm followed by a post-reconstruction smoothing Gaussian filter (5-mm full-width at half-maximum).

In [16], the authors introduced an iterative geometric image hash method by quantizing the low-frequency components of an image into a binary image, which is further filtered by iterative filter in order to obtain a stable geometric shape to generate the hash with resistance to geometric distortion.

This paper aims to demonstrate the feasibility of such an implementation for the iterative image reconstruction.

These images are digitally obtained by an iterative reconstruction process (~15 iterations) that is based on object-support constrained phase recovery, which effectively removes the twin image artifact of in-line holography [ 3, 18, 32].

To this end, we present a method by which one generates an ensemble of 3D realizations using one or very few 2D images by an iterative multiscale approach.

Model-based scatter correction calculates the scatter projections by modelling the physics of photon transport during iterative image reconstruction.

To generate this mask, grey matter segmentations and lesion images were averaged, and binary masks of both images types were created by an iterative, operator-independent algorithm that maximizes the correlation between mask and average (Ridgway et al. 2009).

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