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In addition, unlike microarray data, which are affected by the dynamic range of the scanner, sequence data have a linear dynamic range only limited by the sequencing depth.
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Dummy covariates were used to control for different scanner sequences or equipment within a site.
The main scanning series was completed without ECG-gating utilizing the scanner sequences that allowed saving data in the form of axial section sets (slices) to implement volume reconstruction.
With MRI, scanner and sequence acquisition parameters have a greater non-linear influence on signal intensity and quantification of heterogeneity in comparison with CT or PET, thus requiring stringent quality control and physics input.
Sequence Scanner (v1.0, Applied Biosystems) was used to determine quality of sequence data.
The experiments conducted on publicly available data acquired in different centers with different scanners and sequences exemplify the generality of the considered approach.
The BML segmentation approach may need to be reevaluated when deployed in new data sets using different MR scanners, MR sequences, or study populations (e.g., knees without full thickness cartilage loss).
Sequence scanner version 1.0 was used to analyze the obtained sequences.
Sequencing was performed in duplicate on an ABI 3730 sequencer and data analysis was carried out using Sequence Scanner software (Applied Biosystems, Foster City, CA).
Following PCR amplification, the products were resolved on a ABI 3730XL capillary sequencer by GATC Biotech Ltd. (London, UK) as a commercial service and analysed using Sequence Scanner V1 (http://www.appliedbiosystems.com) to determine the presence or absence of each DNA polymorphism.
In the case of CEST, resolutions are not inherently limited but given by the scanner hardware, pulse sequence, and acquisition time.
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