Precision Learning: Reconstruction Filter Kernel Discretization
Relaization of the filtered backprojection
Precision Learning: Reconstruction Filter Kernel Discretization
Backprojection Filters
Figure 8.13, The responses in frequency domain (top row) as well as the discretized spatial domain kernels (bottom row) of the Ram-Lak and Shepp-Logan filters - Medical Imaging Systems - NCBI Bookshelf
MATLAB How to implement a Ram-Lak filter (Ramp filter) in the frequency domain? - Stack Overflow
Frequency response of `iradon()` filters differs greatly from the same filters in MATLAB · Issue #2853 · scikit-image/scikit-image · GitHub
Reconstruction in CT and hints to the assignments CT reconstruction repetition & hints Modern CT system generations Measurem
Frequency response of `iradon()` filters differs greatly from the same filters in MATLAB · Issue #2853 · scikit-image/scikit-image · GitHub
Frequency response of `iradon()` filters differs greatly from the same filters in MATLAB · Issue #2853 · scikit-image/scikit-image · GitHub
a) Ram-Lak filter (b) Shepp-Logan Filter (c) Cosine Filter (d) | Download Scientific Diagram
Effects of Reconstruction Parameters on Image Noise and Spatial Resolution in Cone-beam Computed Tomography
Computed Tomography
Figure 2.9 from Improved compressed sensing algorithm for sparse-view CT | Semantic Scholar
Investigation of effect of reconstruction filters on cone-beam computed tomography image quality | SpringerLink
imaging - Filtered BackProjection Matlab - Stack Overflow
Computed Tomography (part II)
A Deep Learning Approach for Reconstruction Filter Kernel Discretization | DeepAI
X-ray Computed Tomography
Representation of the filters of Fig. 9 in the ( p -)spatial domain. | Download Scientific Diagram
Note on radon and iradon transforms and Matlab's iradon on the all-at-once call vs. the one-at-time call
