The authors investigate the merits of three forward projection models that rely on linear interpolation: the distance-driven method, Joseph's method, and the ...
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The simplest approach to derive an interpolated projection for angle θ for example, is to locate the projections for this angle on each side of the desired ...
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Jul 18, 2024 · This paper presents a new 3D conditional diffusion model, termed DiffuX2CT, for CT reconstruction from biplanar orthogonal X-rays. This is ...
Jan 31, 2023 · Filtered back projection (FBP) has been the standard CT image reconstruction method for 4 decades. A simple, fast, and reliable technique, FBP ...
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction [paper] [Code] · Stage-by-stage Wavelet Optimization Refinement Diffusion ...
The New Fast Radon Transform (NFRT) algorithm proposed by the authors is applied here to reconstruct the X-ray CT image. Satisfactory agreement between the ...
Aug 7, 2019 · SparseCT is a recently-proposed interrupted-beam scheme that achieves sparse sampling by blocking a portion of the beam using a multislit collimator (MSC).
Cubic splines were confirmed to be the most recommendable method. The reconstructed images resulting from cubic spline interpolation show a significantly lower ...
The algorithm does not require computation intensive data interpolation and convert directly between a raster scan grid and the rectangular/polar grid in one ...
Jan 31, 2023 · This paper proposes a method that applies a neural network for synchrotron X-ray Computed Tomography (CT) data to reconstruct the high-quality 3D structure of ...