Key result
A flow visualization technique adapting particle tracing from classical fluid dynamics enables efficient representation of internal flow structures and elimination of severe background noise in MRI.
A novel flow visualization technique using particle tracing improves the interpretation of MR velocity mapping by eliminating background noise and rendering internal flow structures.
Particle tracing may enhance MR flow visualization amid noise; leaves open clinical adoption pending validation.
Blood movement investigated by magnetic resonance (MR) velocity mapping is generally presented in the form of velocity components in one or more chosen velocity encoding directions. By viewing these components separately, it is difficult for MR practitioners to conceptualize and comprehend the underlying flow structures, especially when the image data have strong background noise. A flow visualization technique that adapts the idea of particle tracing used in classical fluid dynamics for visualizing flow is presented. The flow image processing relies on the strong correlation between the principal flow direction estimated from the distribution of the modulus of the velocity field and the direction derived from the raw image data. By correlation calculation, severe background noise can be eliminated. Flow pattern rendering and animation provide an efficient way for representing internal flow structures. >
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Yang et al. (1991) studied this question. Flow visualization technique using particle tracing was evaluated. A flow visualization technique adapting particle tracing from classical fluid dynamics enables efficient representation of internal flow structures and elimination of severe background noise in MRI.
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