Tomographic Image Reconstruction of Fan-beam Projections with Equidistant Detectors Using Partially Connected Neural Networks
نویسندگان
چکیده
Abstract: We present a neural network approach for tomographic imaging problem using interpolation methods and fan-beam projections. This approach uses a partially connected neural network especially assembled for solving tomographic reconstruction with no need of training. We extended the calculations to perform reconstruction with interpolation and to allow tomography of fan-beam geometry. The main goal is to aggregate speed while maintaining or improving the quality of the tomographic reconstruction process.
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