Image quality of digital mammography images produced using wet and dry laser imaging systems

Radiography ◽  
2006 ◽  
Vol 12 (1) ◽  
pp. 13-19
Author(s):  
K. Al Khalifah ◽  
A. Brindhaban ◽  
R. AlArfaj ◽  
O. Jassim
Keyword(s):  
Image Quality ◽  
Digital Mammography ◽  
Imaging Systems ◽  
Laser Imaging

scholarly journals Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Karen Panetta ◽  
Arash Samani ◽  
Sos Agaian
Keyword(s):  
Image Quality ◽  
Image Enhancement ◽  
Visual Image ◽  
Imaging Systems ◽  
Medical Professionals ◽  
Optimal Operating ◽  
Negative Effect ◽  
Detection And Diagnosis ◽  
Mammogram Images

Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating parameters for the enhancement algorithms. A variety of measures evaluating the quality of an image enhancement will be presented along with each measure’s basis for analysis, namely, on image content and image attributes. We also provide guidelines for systematically choosing the proper measure of image quality for medical images.

scholarly journals Visualization of Breast Microcalcifications on Digital Breast Tomosynthesis and 2-Dimensional Digital Mammography Using Specimens

2017 ◽  
Vol 11 ◽  
pp. 117822341770338 ◽  
Author(s):  
Jieun Byun ◽  
Jee Eun Lee ◽  
Eun Suk Cha ◽  
Jin Chung ◽  
Jeoung Hyun Kim
Keyword(s):  
Image Quality ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Kappa Statistic ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Better Than

Purpose: The purpose of this study is to compare the visibility of microcalcifications of digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) using breast specimens. Materials And Methods: Thirty-one specimens’ DBT and FFDM were retrospectively reviewed by four readers. Results: The image quality of microcalcifications of DBT was rated as superior or equivalent in 71.0% by reader 1, 67.8% by reader 2, 64.5% by reader 3, and 80.6% by reader 4. The Fleiss kappa statistic for agreement among readers was 0.31. Conclusions: We suggest that image quality of DBT appears to be comparable with or better than FFDM in terms of revealing microcalcifications.

Analysis and Evaluation of Image Fusion Algorithms

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Neeraj Kumar ◽  
Vikas Kumar Mishra ◽  
C. L.P. Gupta
Keyword(s):  
Image Quality ◽  
Image Fusion ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Imaging Systems ◽  
Reference Image ◽  
Analysis And Evaluation ◽  
Reference Methods ◽  
Objectively Measured

There is an increasing need for performance tools or quality assessment in order to compare the results obtained with different algorithms of image fusion. This analysis can be used to select a specific algorithm for a defined fusion dataset. The image quality is a characteristic of an image that measures the perceived image degradation (typically, compared to an ideal or perfect picture). Imaging systems may introduce a certain amount of distortion or artifacts in the signal, hence the quality assessment is an important problem. There are several techniques and measures that can be objectively measured and evaluated automatically by a computer program. Therefore, they may be classified as complete reference methods (FR) and the No-reference methods (NR). In the methods of image quality assessment FR, the quality of a test image is evaluated by comparing a reference image that is supposed to have perfect quality. NR measures attempt to assess the quality of an image without any reference to the original.

Exploratory survey of image quality on CR digital mammography imaging systems in Mexico

2014 ◽  
Vol 83 ◽  
pp. 245-248 ◽  
Author(s):  
E. Gaona ◽  
T. Rivera ◽  
M. Arreola ◽  
J. Franco ◽  
N. Molina ◽  
...  
Keyword(s):  
Image Quality ◽  
Digital Mammography ◽  
Imaging Systems ◽  
Exploratory Survey
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