Abstract

Common methods for deriving pressure value from velocity images, use Computational Fluid Dynamics (CFD) techniques. One of the major restrictions is that these images are prone to noise and they have low resolution. In this study we developed a domain approximation approach using least-square fitting methods to overcome these problems. In this regard in this first challenge a one-dimensional mathematical flow phantom is approximated by a polynomial function. The results obtained from the proposed technique are compared by the CFD approach. The effect of accumulation of noise and the effectiveness of this technique in estimation of pressure domain is also evaluated.

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