Model-based estimation of breast percent density in raw and processed full-field digital mammography images from image-acquisition physics and patient-image characteristics

2012 ◽  
Author(s):  
Brad M. Keller ◽  
Diane L. Nathan ◽  
Emily F. Conant ◽  
Despina Kontos
Keyword(s):  
Digital Mammography ◽  
Image Acquisition ◽  
Percent Density ◽  
Full Field ◽  
Model Based ◽  
Full Field Digital Mammography ◽  
Image Characteristics

scholarly journals PERFORMANCE OF A CAD SCHEME APPLIED TO IMAGES OBTAINED FROM MAMMOGRAPHIC FILM DIGITIZATION AND FULL-FIELD DIGITAL MAMMOGRAPHY (FFDM)

2012 ◽  
Author(s):  
Michele Fúlvia Angelo ◽  
Homero Schiabel ◽  
Ana Claudia Patrocinio
Keyword(s):  
Digital Mammography ◽  
False Positive ◽  
Image Acquisition ◽  
False Positives ◽  
True Positive ◽  
Dicom Standard ◽  
Watershed Transform ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography

This work has as purpose to compare the effects of a CAD scheme applied to digitized and direct digital mamograms sets. A routine designed to be applied to mammogram in DICOM standard was developed and a schema based on the Watershed Transform to masses detection was applied to 252 ROIs from 130 digitized mammograms, resulting in 92% of true positive and 10% of false positives. For clustered microcalcifications detection, another procedure was applied to 165 ROIs from 120 mammograms, resulting in 93% of true positive and 16% of false positive. By using the same procedures to 154 digital mammograms obtained from FFDM, the rates have shown a little decrease in the scheme performance: 89% of true positive and 16% of false positive for masses detection; 90% of true positive and 27% of false positive for clusters detection. Although the tests with digital mammograms have been carried with a smaller number of images and different cases compared to the digitized ones, including several dense breasts images, the results can be considered comparable, mainly for clustered microcalcifications detection with a difference of only 3% between the sensibility rates for the both images sets. Another important feature affecting these results is the contrast difference between the two images set. This implies the need of  extensive investigations not only with a larger number of cases from FFDM but also on the parameters related to its image acquisition as well as to its corresponding processing

scholarly journals Evaluation of clinical full field digital mammography with the task specific system-model-based Fourier Hotelling observer (SMFHO) SNR

2014 ◽  
Vol 41 (5) ◽  
pp. 051907 ◽  
Author(s):  
Haimo Liu ◽  
Kish Chakrabarti ◽  
Richard V. Kaczmarek ◽  
Luis Benevides ◽  
Songxiang Gu ◽  
...  
Keyword(s):  
Digital Mammography ◽  
System Model ◽  
Specific System ◽  
Full Field ◽  
Model Based ◽  
Full Field Digital Mammography ◽  
Hotelling Observer

scholarly journals Comparison of percent density from raw and processed full-field digital mammography data

2013 ◽  
Vol 15 (1) ◽  
Author(s):  
Celine M Vachon ◽  
Erin EE Fowler ◽  
Gail Tiffenberg ◽  
Christopher G Scott ◽  
V Shane Pankratz ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Percent Density ◽  
Full Field ◽  
Full Field Digital Mammography

Noise analysis of full field digital mammography systems

2009 ◽  
Author(s):  
V. Ravaglia ◽  
R. Bouwman ◽  
K. Young ◽  
R. Van Engen ◽  
B. Lazzari
Keyword(s):  
Digital Mammography ◽  
Noise Analysis ◽  
Full Field ◽  
Full Field Digital Mammography
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