SU-F-I-43: A Software-Based Statistical Method to Compute Low Contrast Detectability in Computed Tomography Images

2016 ◽  
Vol 43 (6Part8) ◽  
pp. 3396-3396
Author(s):  
M Chacko ◽  
S Aldoohan
2016 ◽  
Vol 685 ◽  
pp. 857-862 ◽  
Author(s):  
Igor Skirnevskiy ◽  
Aleksandr Korovin

Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods.


2016 ◽  
Vol 32 (8) ◽  
pp. 992-998 ◽  
Author(s):  
Atsushi Urikura ◽  
Takanori Hara ◽  
Katsuhiro Ichikawa ◽  
Eiji Nishimaru ◽  
Takashi Hoshino ◽  
...  

2021 ◽  
Vol 24 ◽  
pp. 100573
Author(s):  
Goli Khaleghi ◽  
Mohammad Hosntalab ◽  
Mahdi Sadeghi ◽  
Reza Reiazi ◽  
Seied Rabi Mahdavi

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