During scan acquisition, we closely monitored data from each sequence in real time as images were reconstructed and displayed on the scanner console. Any visible motion triggered a repeat of the sequence. Image quality within individual pulse sequences was assessed in more detail during preprocessing within 48 h of the scan, as described below. Every effort was made to bring back for repeat scanning, with the relevant pulse sequences, any participants who had images containing a motion artifact. Additional quality control for anatomical images included ratings of image sharpness, ringing, contrast-to-noise ratio of subcortical nuclei, and gray/white matter interface.
Sonata 1.5 tesla scanner
The Sonata 1.5 Tesla scanner is a magnetic resonance imaging (MRI) system designed by Siemens. It has a static magnetic field strength of 1.5 Tesla, which is a commonly used field strength for clinical MRI scans. The Sonata 1.5 Tesla scanner is capable of producing high-quality images of the body's internal structures and is used by healthcare professionals for diagnostic purposes.
Lab products found in correlation
4 protocols using sonata 1.5 tesla scanner
High-Resolution Brain MRI Acquisition Protocol
During scan acquisition, we closely monitored data from each sequence in real time as images were reconstructed and displayed on the scanner console. Any visible motion triggered a repeat of the sequence. Image quality within individual pulse sequences was assessed in more detail during preprocessing within 48 h of the scan, as described below. Every effort was made to bring back for repeat scanning, with the relevant pulse sequences, any participants who had images containing a motion artifact. Additional quality control for anatomical images included ratings of image sharpness, ringing, contrast-to-noise ratio of subcortical nuclei, and gray/white matter interface.
Comprehensive Cytogenetic Analyses of Rare Condition
High-Resolution Anatomical Brain Imaging
Standardized MRI Acquisition and Analysis
We corrected large-scale variations in image intensity using a validated algorithm developed at the Montreal Neurological Institute (Sled et al., 1998 (link)). We removed extracerebral tissues using an automated tool for extracting the brain (Shattuck and Leahy, 2002 (link)). Connecting dura was then removed manually on each slice in the sagittal view and checked in the orthogonal views. The brainstem was transected at the pontomedullary junction. We measured whole brain volume (WBV) for use as a covariate to control for global scaling effects in statistical analyses of conventional volumes. This measure included not only gray and white matter but also cerebrospinal fluid within the ventricles and cortical sulci to ensure the exclusion of any possible confound of age-related effects of tissue atrophy with this general measure of body scaling (Skullerud, 1985 (link)).
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