Yao Lu, 中山大学

Title

Edge-Preserving Regularizations for ECT Reconstruction in Mesh Domain

Abstract

The purpose of this study was to implement the continuous edge-preserving regularization rooted from traditional discrete Total Variation (TV) regularization for iterative ECT reconstruction in mesh domain to suppress image noise accumulation with increasing iteration number and thus to stabilize the reconstruction while preserving edges in the reconstructed images. In order to accomplish these aims we used reconstruction algorithms in mesh domains that employed TV priors applied in a continuous form. We established a continuous-to-discrete integral equation model for ECT projections and used it to derive edge-preserving regularization algorithm in mesh domain. A computationally efficient approach for the proposed continuous regularizations was derived for piecewise linear basis functions.


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