Web6. júl 2024 · These single-view back projections convert the encoding of sinogram data into the appropriate spatial location, which can then be leveraged by the spatial invariance of … Web1. dec 2024 · As shown in Fig. 1 (a), the reconstructed image is a well-known sparse-view CT reconstruction using FBP, which will result in numerous streaking artifacts in input X. …
Sparse-view cone beam CT reconstruction using dual …
WebSparse-view computed tomography (CT) is a recent approach to reducing the radiation dose in patients and speeding up the data acquisition. Consequently, sparse-view CT has been of particular interest among researchers within the CT community. Advanced reconstruction algorithms for sparse-view CT, su … Web6. sep 2024 · For CT, reconstructions from sparse views or limited angle tomography are being used more frequently for low dose imaging. However, insufficient sampling data causes severe streak artifacts... flowgum ohio
Sparse-view CT reconstruction based on multi-level wavelet …
WebA Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. IEEE Transactions on Medical Imaging, Vol. 37, 6 (2024), 1407--1417. Google Scholar Cross Ref; Zhongwei Zhao, Yuewen Sun, and Peng Cong. 2024. Sparse-view CT Reconstruction via Generative Adversarial Networks. In 2024 IEEE Nuclear Science … Web7. júl 2024 · Sparse-view CBCT is a main method to lower the radiation dose; however, it introduces streak artifacts in the reconstructed images. We develop a dual convolutional neural network architecture (DualCNN) to eliminate streak … Web7. apr 2024 · Purpose Accurate three-dimensional (3D) models play crucial roles in computer assisted planning and interventions. MR or CT images are frequently used to derive 3D models but have the disadvantages that they are expensive or involving ionizing radiation (e.g., CT acquisition). An alternative method based on calibrated 2D biplanar X … flow gum sandusky oh