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An iterative reconstruction algorithm (ordered subset estimation maximisation (OSEM)) [11] was used for the SPECT image reconstruction.
CT images were later reconstructed with 3.75-mm slice width, using a fully 3D iterative algorithm (ordered subset expectation maximization (OSEM)).
The PET images were reconstructed using a standard iterative algorithm (ordered set expectation maximization (OSEM)) by integrating further correction algorithms to reduce image noise caused by scatters and randoms.
An image quality phantom, scanned on a Siemens mCT PET scanner (Siemens AG, Munich, Germany) [38], has been reconstructed using a standard iterative algorithm, ordered subset expectation maximization (OSEM), with typical image pixel size of 4 mm (a) and using OSEM with PSF and TOF, with smaller pixel size of 2 mm.
In the current implementation of the seriation algorithm, ordered structures (contigs) are revealed by color-coding the reordered correlation matrix according to the magnitude of the correlation value.
The CT data were used for the attenuation correction and the images were reconstructed using a standard iterative algorithm (ordered subset expectation maximization).
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The same algorithm order and settings, but for different test images is presented on Figures 4 ("Fishing boat") and 5 ("Bicycle").
PET images were reconstructed with a Nucline Tera-Tomo PET algorithm (ordered-subsets expectation-maximization 3-dimensional reconstruction; Mediso) using 300-μm voxels.
They proposed a search algorithm (Order Preserving SubMatrix, OPSM) based on a probabilistic model for a single order-preserving submatrix.
The algorithm orders proteins on the horizontal axis and samples on the vertical axis based on similarity of their expression profiles.
Lemma 1. Successive water levels achieved by the proposed MLWF algorithm are ordered decreasingly.
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