Sentence examples for mode data was from inspiring English sources

Subsequently, the PET list mode data was reprocessed to produce the following sets of sinograms: 30, 60, 90, and 120 s per bed (sec/bed).

For efficiency of estimation, the slant-range change, based on the stripmap mode data, was picked up every 20 s (approximately 500 m) in areas where a large change was observed and every 80 s (approximately 2 km) in other areas.

List mode data was histogrammed into 27 sequential time frames of increasing duration (8 frames × 30 s, 6 frames × 1 min, 5 frames × 2 min, 8 frames × 5 min) over 60 min. Images were reconstructed using a maximum a posteriori algorithm, normalized, and corrected for scatter, dead time, and decay.

However, a clearer separation of the groups for the negative mode data was seen when the samples were analyzed with PLS-DA (Fig. S1).

Then, the list mode data was binned into time frames and reconstructed with a statistical 3D reconstruction algorithm [ 16].

Analysis of the list mode data was performed using Modfit software (Verity Softwarehouse, Topsham, ME) (Telford et al., 1991).

Positive and negative mode data were acquired separately.

List mode data were acquired for 40 min.

Only Global measurement mode data were used, because only this observation mode provides daily global coverage.

The list mode data were collected dynamically which were rebinned using a Fourier rebinning algorithm.

List mode data were divided into 10 min frames and reconstructed with PSF.