Study on an improved filtered back-projection image reconstruction algorithm combined with wavelet denoising

2013 ◽  
Author(s):  
Zhong Ren ◽  
Guodong Liu ◽  
Zhen Huang
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Wavelet Denoising ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Image Reconstruction Algorithm ◽  
Projection Image

Application of Computed Tomographic Image Reconstruction Algorithms Based on Filtered Back-Projection in Diagnosis of Bone Trauma Diseases

2020 ◽  
Vol 10 (5) ◽  
pp. 1219-1224
Author(s):  
Xianyu Li ◽  
Yulin He ◽  
Qun Hua
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Projection Data ◽  
Ct Image ◽  
Back Projection ◽  
Post Processing ◽  
Filtered Back Projection ◽  
X Ray ◽  
Image Reconstruction Algorithm ◽  
Bone Trauma

Objective: To improve the diagnostic rate of bone trauma diseases by applying image reconstruction algorithm based on filtered back-projection to CT images of bone trauma. Methods: Sixty-three patients with bone trauma in our hospital were selected. After hospitalization, 63 patients took satisfactory localization images to make the lesions on the localization images close to or even exceed the resolution of conventional X-ray films. After scanning, the post-processing workstation software was used for post-processing of image reconstruction algorithm based on filtered back-projection. Finally, the diagnostic accuracy of X-ray plain film, common CT image and image examination based on filtered back-projection was compared statistically. Results: Among 63 cases of bone trauma, 48 cases were found by routine CT cross-sectional examination. The image reconstruction algorithm based on filtered back-projection was applied to all cases of wrist ulnar and trauma examination. The three-dimensional imaging can display the length, direction, shape of articular surface and fracture end of bone trauma as well as the size and spatial position of free small bone fragments stereoscopically and accurately. The relationship between bone trauma and placement. Discussion: Experiments show that when the projection data are complete, the filtering back-projection algorithm can reconstruct the image better, and the overall evaluation of the new filtering function is the best. Usually, the projection data are often incomplete, sometimes even seriously insufficient. At this time, it is necessary to adopt iterative reconstruction algorithm. However, no matter which algorithm is adopted, the reconstruction speed and accuracy are improved, and the quality of the reconstructed image is improved. It remains the direction of future efforts. The FBP method is the basic common algorithm for reconstructing image, and it is also the basis of many other algorithms. It is widely used in medical CT and other fields. Conclusion: The improved CT image reconstruction algorithm based on filtered back-projection has high application value in the diagnosis of bone trauma diseases. By comparing the three indexes of serial processing time, information transfer interface and image noise, the suspicious site of bone trauma can be diagnosed clearly. In recent years, with the popularization of CT and the emergence of spiral CT, it has a good guiding significance for defining clinical diagnosis and treatment.

scholarly journals An application of filtered back projection method for computed tomography images

2021 ◽  
Author(s):  
Tuğba Özge Onur
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Projection Methods ◽  
Back Projection ◽  
Mathematical Methods ◽  
Filtered Back Projection ◽  
Tomographic Image Reconstruction ◽  
Computed Tomography Images ◽  
Projection Image ◽  
And Performance

AbstractMathematical methods take an important part in reconstruction technologies of radiographic image. Back projection, iterative, and analytical (Two-dimensional Fourier, Filtered Back Projection) methods are the most important procedures for image reconstruction. Whenever there exists numerous projections, analytical methods have a great performance in speed and accuracy and due to these advantages they are comprehensively used for X-ray imaging. One of the widespread used methods in tomographic image reconstruction is Filtered Back Projection (FBP) algorithm. This paper presents an application of this reconstruction algorithm for a generated image of the object. Shepp-Logan filter is used to form the filtered back projection image and performance improvement is investigated. The obtained images indicate that FBP algorithm can be substantial for various applications in the field of medicine and industry.

Evaluation of Heavily Calcified Vessels with Coronary CT Angiography: Comparison of Iterative and Filtered Back Projection Image Reconstruction

Radiology ◽  
2011 ◽  
Vol 260 (2) ◽  
pp. 390-399 ◽  
Author(s):  
Matthias Renker ◽  
John W. Nance ◽  
U. Joseph Schoepf ◽  
Terrence X. O’Brien ◽  
Peter L. Zwerner ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Coronary Ct ◽  
Projection Image

Iterative filtered back projection image reconstruction for ultrasonic tomographic flow field imaging

2014 ◽  
Vol 22 (11) ◽  
pp. 3136-3144 ◽  
Author(s):  
柳建楠 LIU Jian-nan ◽  
王浩源 WANG Hao-yuan ◽  
王伯雄 WANG Bo-xiong ◽  
崔园园 CUI Yuan-yuan
Keyword(s):  
Image Reconstruction ◽  
Flow Field ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Projection Image ◽  
Field Imaging

MICROWAVE IMAGING OF EMBEDDED OBJECT USING AN ENHANCED IMAGE RECONSTRUCTION ALGORITHM

2015 ◽  
Vol 74 (20) ◽  
pp. 1793-1801
Author(s):  
Sidi Mohammed Chouiti ◽  
Lotfi Merad ◽  
Sidi Mohammed Meriah ◽  
Xavier Raimundo
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Microwave Imaging ◽  
Image Reconstruction Algorithm
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