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Filters
Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning
[article]
2021
arXiv
pre-print
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Cone Beam Computed Tomography(CBCT) is a now known method to conduct CT imaging. ...
And we applied The Iterative learn-able filtering approach with deep reinforcement learning to sinograms and reconstructed volume domains. ...
. ramp filtering. p is projection. beta stands for the maximum and the minimum of source trajectory angles. w is weighting function. ...
arXiv:2104.00889v1
fatcat:hkzg6iauw5arhbxxbalhqfdmri
The Use of Filtered Back projection Algorithm for Reconstruction of tomographic Image
2014
مجلة النهرين للعلوم الهندسية
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In the third part, filter the projections using Ram Lak filter and Hann window for image enhancement and then back projection summation to form the reconstructed image. ...
Filtered back projection algorithm (FBP) is one of the most common methods that used in to mographic image reconstruction. This algorithm was applied on computerized tomography (CT) scanner. ...
it by the weighting function 2|w|/K. Sum over the image plane the inverse Fourier transforms of the filtered projections (the back projection process). ...
doaj:7a07553fa7b44414a4ef349247cf39b6
fatcat:iafuqzfgdjeb3hrv6lf466kn7a
Image Reconstruction from Fan-Beam Projections without Back-Projection Weight in a 2-D Dynamic CT: Compensation of Time-Dependent Rotational, Uniform Scaling and Translational Deformations
2013
Open Journal of Medical Imaging
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In this paper, we present fan-beam reconstruction algorithm without position-dependent backprojection weight which compensates for the time-dependent translational, uniform scaling and rotational deformations ...
Finally the proposed reconstruction algorithm is evaluated with the motion corrupted projection data simulated on the computer. ...
In this paper, we reduce the computational cost of the fan-beam FBP reconstruction formula for a 2-D dynamic CT proposed by Roux. et al., by eliminating the position-dependent back-projection weight, ...
doi:10.4236/ojmi.2013.34021
fatcat:nrh7qsgr6baarnswejqmb4jivi
tomviz: Providing Advanced Electron Tomography by Streamlining Alignment, Reconstruction, and 3D Visualization
2017
Microscopy and Microanalysis
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Electron tomography (ET) is widely used for 3D characterization of biological and material systems at nano-scales and meso-scales [1, 2] . ...
The success of an ET experiment critically depends on many image processing steps including tilt series alignment, tomographic reconstruction, segmentation, and visualization. ...
tomviz offers a broad collection of reconstruction methods, from traditional weighted back projection (favored by biological applications) to more advanced optimization-based techniques such as the totalvariation ...
doi:10.1017/s1431927617001799
fatcat:s557ahpt6vhblhxokpmj3b3cce
Novel Design of Industrial Real-Time CT System Based on Sparse-View Reconstruction and Deep-Learning Image Enhancement
2023
Electronics
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With the translation of objects, their X-ray projections are obtained for CT reconstruction. ...
Projections from different angles can be acquired with the objects' translation, making it easier to be integrated into production line. ...
Acknowledgments: We want to thank the Research Center of Aircraft Health Management Technology of Xiamen University for some constructive comments. ...
doi:10.3390/electronics12081815
fatcat:zujqg2j4pnhtblscv4f6ms6vjm
GPU-based cone beam computed tomography
2010
Computer Methods and Programs in Biomedicine
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The standard reconstruction algorithm for CBCT data is the filtered backprojection, which for a volume of size 256 3 takes up to 25 min on a standard system. ...
2959; No. of Pages 7 c o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e x x x ( 2 0 0 9 ) xxx-xxx Cone beam computed tomography Filtered backprojection a b s t r a c t The use ...
The reconstruction method is formulated as a weighted filtered backprojection. As an initial step, the projection data are log converted, individually weighted, and ramp filtered (P f ). ...
doi:10.1016/j.cmpb.2009.08.006
pmid:19782424
fatcat:4im6jlj3vjf23jra7qbrb2ojkq
3D reconstruction from projection matrices in a C-arm based 3D-angiography system
[chapter]
1998
Lecture Notes in Computer Science
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A usual step in the reconstruction is sinogram weighting, in which the projections containing corresponding data from opposing directions have to be weighted before they are filtered and backprojected ...
We propose using projection matrices directly in a voxel driven backprojection for the reconstruction as opposed to that of computing all the geometrical parameters, including the imaging parameters. ...
The projection matrices are then easily computed. These matrices are then directly used for the back-projection. ...
doi:10.1007/bfb0056194
fatcat:jskusrk2tjhmdd26wrjqwn4kr4
A novel design of industrial real-time CT system based on sparse-view reconstruction and deep-learning image enhancement
[article]
2022
arXiv
pre-print
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With the translation of objects, their X-ray projections are obtained for CT reconstruction. ...
Projections from different angles can be acquired with the objects' translation, which makes it easier to be integrated into pipeline. ...
We would like to thank for the support of National Natural Science Foundation of China (61571381) and Double-Hundred Project for the Introduction of Xiamen Elite (Special Talent 2019.1). ...
arXiv:2206.08696v1
fatcat:4hi6odh6dfgnblwwji5yyuqeai
Principles of computer assisted tomography (CAT) in radiographic and radioisotopic imaging
1976
Physics in Medicine and Biology
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Filtered Back-Projection. Filtered profiles ( p * ) are back-projected to reconstruct the original circular object. ...
Their approach demonstrates that a digital computer is not necessarily required for reconstructive tomography. ...
doi:10.1088/0031-9155/21/5/001
pmid:788005
fatcat:uehudn6v7jcdpcunk47ewlhvby
Cycloidal Computed Tomography
2020
Physical Review Applied
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A general concept is presented for increasing the in-slice spatial resolution in computed tomography in a flexible manner and with relatively large source focal spots and detector pixels. ...
The application of a cycloidal acquisition scheme, by which the sample is simultaneously rotated and translated, facilitates an efficient exploitation of these frequencies and their reconstruction into ...
The reconstruction involves dark-and flat-field corrections and tomographic reconstruction using filtered back projection. ...
doi:10.1103/physrevapplied.14.014069
fatcat:e66fxhfcznggxad65fojq6pmla
Recent Advances in X-ray Cone-beam Computed Laminography
2016
Journal of X-Ray Science and Technology
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Traditionally, computed tomography uses scanning geometries with a single axis of rotation together with reconstruction algorithms specifically designed for this setup. ...
developed computational hardware and software techniques to accelerate reconstruction times. ...
In FDK algorithms, the recorded data are pre-weighted, compensating for the divergent beam, then they are ramp-filtered and backprojected. ...
doi:10.3233/xst-160581
pmid:27341626
fatcat:slpzg4ufzrd6romm2iy556fcfq
Removing ring artefacts from synchrotron radiation-based hard x-ray tomography data
2017
Developments in X-Ray Tomography XI
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high-pass filtering of the integrated projection, (iv) subtraction of filtered data from the flat-field corrected projections. ...
Removing ring artefacts from synchrotron radiation-based hard x-ray tomography data. ...
in the special preparation required for the tomography measuremts. ...
doi:10.1117/12.2274236
fatcat:tyi7oof2sfflhg4d27i6h4c6rq
Fast high-resolution micro-CT with exact reconstruction methods
2010
Developments in X-Ray Tomography VII
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In the quest for ever-increasing resolution, lab-based X-ray micro-CT systems are limited by the spot size of the X-ray source. ...
We have constructed a helical trajectory X-ray micro-CT system which enables high-resolution tomography within practical acquisition times. ...
Acknowledgments The authors acknowledge the member companies of the Digital Core Consortium for providing funding support and the Australian National Computing Infrastructure for supplying computing resources ...
doi:10.1117/12.860298
fatcat:x2chljmiajgrtmzvpsaersehh4
PYRO ‐ NN : Python Reconstruction Operators in Neural Networks
2019
Medical Physics (Lancaster)
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An increasingly number of publications follow the concept of embedding the computed tomography (CT) reconstruction as a known operator into a neural network. ...
As a result, many approaches use workarounds for mathematically unambiguously solvable problems. ...
Following the forward projection, the 3D cone-beam back-projection is based on projection matrices according to Scherl et al. 29 Note that for runtime efficiency, the distance weighting for the cone-beam ...
doi:10.1002/mp.13753
pmid:31389023
pmcid:PMC6899669
fatcat:dqmr6s2w4jevxeuhgcgfpzrcqi
A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography
2008
2008 11th IEEE International Conference on Computational Science and Engineering
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This paper presents a novel model for combining projection and image filtering in computerized tomography. ...
Then, the reconstructed images, obtained filtered backprojection algorithms (including the use of Hamming windows), are filtered using the two-dimensional DWT and wavelet thresholding, a non-linear technique ...
Using a reconstruction algorithm, it's possible to translate the coefficient attenuation map into a pixe1 representation and visua1ize the tomography as an image. ...
doi:10.1109/cse.2008.37
dblp:conf/cse/LaiaLBPCM08
fatcat:cay5r7sm6vaathmti4lpq7dl44
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