SPECT images were reconstructed using the camera software with iterative ordered-subsets expectation maximization algorithm (OSEM) with 2 iterations and 10 subsets.
Reconstruction of both transmission and emission images was performed with an iterative ordered-subsets expectation maximization (OSEM) algorithm with 4 iterations and 8 subsets.
Image reconstructions were iterative (ordered subset expectation maximization ) with eight subsets and two iterations.
The PET data were reconstructed using an iterative ordered subsets expectation maximization (OSEM) algorithm (28 subsets, two iterations), a standard z axis filter, 3.74 mm post filter, a 128 × 128 matrix, and a DFOV 43.6 mm.
Reconstructions were made with iterative ordered subset expectation maximisation.
Each set of 40 noisy projections was reconstructed using the iterative ordered subset expectation maximisation (OSEM) [23] reconstruction software developed at John Hopkins University, Baltimore, MD, USA.
Data were reconstructed using iterative ordered subset expectation maximization - maximum a posteriori (OSEM-MAP) [17] yielding a reconstructed image resolution of approximately 1.4 mm.
Three-dimensional (3D) SPECT images were reconstructed using the iterative ordered subset expectation maximisation reconstruction software developed at Johns Hopkins University, Baltimore, MD, USA.
For SPECT data, the proprietary iterative (ordered subset expectation maximization or OSEM) reconstruction algorithm with collimator depth-dependent three-dimensional resolution recovery (Flash 3D, Siemens Healthcare) was chosen.
Consequently, the principal method used is the iterative ordered subset expectation maximization (OSEM), which processes the projection data subset by subset instead of all the data at once [27].
Second, HighMap greatly curbed the genetic map distance, while the iterative ordering strategy ensured an accurate marker order.
