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Showing 1 to 6 of 6 for “"slice selection"”.
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Gradient characterization in magnetic resonance imaging
… An improved method, named the self-encoded slice selection algorithm, of characterizing the gradient system of the magnetic resonance system is proposed. It improves and combines the self-encode method and the direct slice selection method. The new approach is simple and fast, and allows for …
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AUTOMATED MIDLINE SHIFT DETECTION ON BRAIN CT IMAGES FOR COMPUTER-AIDED CLINICAL DECISION SUPPORT
… shift estimation system is proposed. First, a CT slice selection algorithm (SSA) is designed to automatically select a subset of appropriate CT slices from a large number of raw images for MLS detection. Next, ideal midline detection is implemented based on skull bone anatomical features and …
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Experimentelle Magnetresonanzangiographie unter Verwendung von kontrastangehobenen und flußrichtungssensitiven Meßtechniken
… and refocussing HF-pulses in the direction of slice-selection to obtain selective imaging of arterious and venous structures. In systematic studies several parameters were changed as the repetition time, the echo time, the slice thickness, flip angle and the sizes of excitating and refocussing …
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Molecular Origins of Phase Stability in Phase-Change Nano-Emulsions for Thermal Energy Storage by NMR Spectroscopy
… frequencies during thermal cycling. Double-slice selection was applied to measure the velocity profile and concentration distribution of the oil within the gap, revealing non-linear velocity profiles and the shear-induced mass transport of nano-emulsion droplets. <sup>1</sup>H NMR Transverse …
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Process Applications of NMR
… sequence is modified to include flow-compensated slice selection gradients. The accuracy of the compositions measured from volume selective spectra is measured as ±1 mol% and ±2 mol% for static and flowing mixtures respectively. Pulsed field gradient NMR sequences using double echoes for flow …
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Towards Multiplexed Nuclear Magnetic Resonance for Environmental Analysis
… a novel pulse sequence that allows the selection of chosen compounds out of a complex mixture was employed, addressing the key challenge of spectral overlap. This powerful technique was used to follow the biochemical impacts of external stressors by tracking changes in key metabolites …