scholarly journals Geometric Modeling of Medical Filtered Back-Projection Images

2020 ◽  
Vol 8 (5) ◽  
Author(s):  
Atefeh Hasan-Zadeh

This paper deals with the geometric concepts of medical imaging. The main result is proving this novel achievement that the time-frequency projections from some angles in the filtered back-projection image can be calculated by the surface area of the convex body and symplectic Holmes-Thompson volume. For this purpose, the necessary notions are introduced by the surface area of a convex body of the corresponding projective spaces, Radon and Fourier transform in integral geometry, Holmes-Thompson measure in Finsler-Minkowsi-symplectic geometry. This result leads to the other correspondence between basic notions of medical imaging such as the projections from some angles which are equally spaced, the image-frequency of these projections, the low image correctness, and the corresponding notions of Finsler geometry.

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 ◽  
...  

Author(s):  
Tuğba Özge Onur

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.


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

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