Sentence examples for maximization iterative algorithm from inspiring English sources

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Attenuation correction for PET data using CT images was performed and images were reconstructed into 256 × 256 matrix using an ordered-subset expectation maximization iterative algorithm (14 subsets and two iterations).

PET data were reconstructed using the 2-D ordered subsets expectation maximization iterative algorithm with the following parameters: 6 iterations, 8 subsets, zoom of 2 and a post-processing Gaussian smoothing with full-width at half-maximum (FWHM) of 5.0 mm.

Attenuation correction PET images were reconstructed with an OSEM (ordered subset expectation maximization iterative) algorithm.

The PET emission images were corrected for measured attenuation and reconstructed using an ordered-subset expectation maximization iterative algorithm per the manufacturer's instructions.

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Image reconstruction was performed with an ordered-subset expectation maximization (OSEM) iterative algorithm (2 iterations, 28 subsets).

Attenuation-corrected PET images were reconstructed by means of an ordered-subset expectation maximization, iterative reconstruction algorithm (three iterations, eight subsets).

Attenuation-corrected PET images were reconstructed with an ordered-subset expectation maximization iterative reconstruction algorithm that employed eight subsets and three iterations.

PET images were reconstructed using the ordered subsets expectation maximization iterative reconstruction algorithm.

PET images were scatter-corrected and reconstructed with the use of an ordered-subset expectation maximization iterative reconstruction algorithm and a postreconstrution Gaussian filter (3 mm, full-width at half-maximum).

The vendor-supplied Astonish ordered subsets expectation maximization (OSEM) iterative algorithm was used; it incorporates depth-dependent resolution recovery, attenuation, and scatter correction [11, 12].

Reconstructions were performed with the Astonish™ (Philips Healthcare, Andover, MA) ordered subset expectation-maximization (OSEM) iterative algorithm over 2 iterations and 16 subsets that included a 10-mm Hanning filter and 4.7 mm isotropic voxels.

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