Improvement in Radiographic Image Quality by Reduction in Scattered X-Rays: A New Concept in Improving Image Quality

1988 ◽  
Vol 27 (Part 1, No. 7) ◽  
pp. 1338-1342
Author(s):  
Akiyoshi Ohtsuka ◽  
Komyo Kariya
Keyword(s):  
Image Quality ◽  
X Rays ◽  
Radiographic Image

scholarly journals Radiographic image quality after interruption of the fixing stage to view the image with a viewbox

2010 ◽  
Vol 25 (1) ◽  
pp. 78-82 ◽  
Author(s):  
Anna Débora Araújo Lourenço ◽  
Andréa dos Anjos Pontual ◽  
Márcia Maria Fonseca da Silveira ◽  
Maria Luíza dos Anjos Pontual
Keyword(s):  
Image Quality ◽  
Radiographic Image

Diagnostic image quality of mobile neonatal chest X-rays and the radiation exposure incurred.

1999 ◽  
Vol 72 (853) ◽  
pp. 55-61 ◽  
Author(s):  
A Lowe ◽  
A Finch ◽  
D Boniface ◽  
R Chaudhuri ◽  
J Shekhdar
Keyword(s):  
Image Quality ◽  
Radiation Exposure ◽  
Diagnostic Image Quality ◽  
X Rays ◽  
Diagnostic Image

RADIOGRAPHIC IMAGE ENHANCEMENT USING HYBRID ALGORITHM

2016 ◽  
Vol 78 (6-7) ◽  
Author(s):  
Varin Chouvatut ◽  
Ekkarat Boonchieng
Keyword(s):  
Image Quality ◽  
Spatial Resolution ◽  
Computed Radiography ◽  
Median Filter ◽  
Correct Diagnosis ◽  
Image Contrast ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Low Contrast

Radiographic image quality is important in the medical field since it can increase the visibility of anatomical structures and even improve the medical diagnosis. Because the image quality depends on contrast, noise, and spatial resolution, images with low contrast, a lot of noises, or low resolution will decrease image quality, leading to an incorrect diagnosis. Therefore, radiographic images should be enhanced to facilitate medical expertise in making correct diagnosis. In this paper, radiographic images are enhanced by hybrid algorithms based on the idea of combining three image processing techniques: Contrast Limited Adaptive Histogram Equalization for enhancing image contrast, Median Filter for removing noises, and Unsharp Masking for increasing spatial resolution. Two series of medical images consisting of 20 x-ray images and 20 computed radiography images are enhanced with this method. Peak Signal to Noise Ratio (PSNR) and image contrast are computed in order to measure image quality. The results indicate that the enhanced images have better PSNR.

Evaluation of radiographic image quality

1973 ◽  
Vol 18 (4) ◽  
pp. 594-594 ◽  
Author(s):  
K Rossmann ◽  
J R Williams ◽  
D J Goodenough
Keyword(s):  
Image Quality ◽  
Radiographic Image

Experiments on Radiographic Image Quality Using Low Energy Portable X-Ray Equipments

2004 ◽  
Vol 270-273 ◽  
pp. 1366-1370
Author(s):  
Nobuki Yabushita ◽  
Norikazu Ooka ◽  
Kazuo Nakamura
Keyword(s):  
Image Quality ◽  
Low Energy ◽  
Radiographic Image ◽  
X Ray
Sign in / Sign up

Export Citation Format

Share Document