4/8/2023 0 Comments Gauss seidel algorithm diagram![]() ![]() The validity of our method is shown on synthetic data, simulated histology data using a CT data set and real histology data. The deformation artifacts are effectively reduced in the resulting histology volumes, while the natural curvature of the anatomy is preserved. In particular, the scheme is universally applicable without restriction to a specific unwarping method, and uses no external reference. We present an iterative scheme that transfers the ideas of the Gauss-Seidel method to image stacks to separate the anatomy from the deformation. Our approach shows that the problem of unwarping is based on the superposition of low-frequency anatomy and high-frequency errors. Most methods use an external reference, or rely on conservative stopping criteria during the unwarping optimization to prevent straightening of naturally curved morphology. One important step during reconstruction is the reversal of slice deformations introduced during histological slice preparation, a process also called image unwarping. It features very high-resolution which is still unmatched by in-vivo 3-D imaging modalities, and tissue staining further enhances visibility and contrast. ![]() Three-dimensional (3-D) reconstruction of histological slice sequences offers great benefits in the investigation of different morphologies. ![]()
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