Abstract. We present our results on development of algorithms for image reconstruction in optical computed-tomography microscopy.
In this paper we present the results of development of limited-angle reconstruction algorithms for computed- tomography microscopic imaging. Two reconstruction ...
Sep 6, 2021 · Our approach is self-training that can iteratively learn the nonlinear mapping from partial projections to the scanned object.
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Experimental results show that the proposed pipeline can reduce some of the major artifacts caused by the limited views while keep the key features, ...
Five limited-data computed tomography algorithms are compared. The algorithms used are adapted versions of the algebraic reconstruction technique.
Missing: microscopic | Show results with:microscopic
Jan 6, 2020 · We develop a limited-angle TCT image reconstruction algorithm based on a U-net convolutional neural network (CNN).
In this project, we will design a model-based method (to replace FBP) that combines simulated Chromatin 3D data to provide more accurate restoration of 3D ...
Dec 29, 2015 · CT image reconstruction algorithms can be classified into analytical reconstructions and iterative reconstructions. Filtered back projection ( ...
We present a deep-learning-based algorithm to jointly solve a reconstruction problem and a wavefront set extraction problem in tomographic imaging.
Limited-angle computed tomography suffers from missing data in the projection domain, which results in intensity inhomogeneities and streaking artifacts in ...