Sentence examples for difference in acquisition from inspiring English sources

The remaining 200 volumes were slice-timing corrected relative to middle axial slice for the temporal difference in acquisition among different slices; and then volumes were registered to correct for head-motion during the scan.

where Δt is the difference in acquisition time between the two latest matched features.

Another challenge is the difference in acquisition times, which is 5 6 minutes for PET and just a few seconds for each MRI sequence.

Since the difference in acquisition time between NFI and LiDAR data is between 2 and 9 years, significant changes (caused, e.g., by fire or deforestation) within the field plots might have occurred [33].

This difference in acquisition and image quality has been shown to result in clinically important results with dramatically discordant success rates (97%% for TEE and 38%% for TTE) in answering clinical questions in a critically ill population [11].

Similar to data generated in male mice, female mice exhibited no difference in acquisition relative to wildtype (WT); however, during reversal learning, CB1KO females spent more time in the original training quadrant and took significantly longer to learn the location of the new platform relative to WT.

The patient dose will vary between DXA systems of different models and manufacturers depending on a number of variables, including differences in acquisition techniques and X-ray tube filtration.

A case for clinical translation would have to recognise that machine learning might offer other benefits, such as greater robustness to differences in acquisition conditions.

In Q1, Fiksu conducted a study of six clients running the same apps on both iOS and Android to determine differences in acquisition cost and loyal usage conversion rates.

In addition, the total number of trues for each PET acquisition on the PET/MR system was obtained from the list mode files (total prompts subtracted total randoms) and corrected for decay and the differences in acquisition times.

The resulting atlas can be used to automatically segment the hippocampal subregions in structural MRI images, using an algorithm that can analyze multimodal data and adapt to variations in MRI contrast due to differences in acquisition hardware or pulse sequences.