The validation shows that the image quality of a digital mammography image obtained with a particular system can be degraded, in terms of noise magnitude and color, sharpness, and contrast to account for differences in the detector and antiscatter grid. Potentially, this is a powerful tool for observer studies, as a range of image qualities can be examined by modifying an image set obtained at a single (better) image quality thus removing the patient variability when comparing systems.
Abstract. A new method of generating realistic three dimensional simulated breastrealistic masses with more variability in shape compared to the RW method. DLA 24 generated lesions can overcome the lack of complexity in structure and shape in many 25 current methods of mass simulation.
CDMAM phantoms are widely used in the Europe to assess the performance of mammography systems utilising small size and low contrast disc details. However, the assessment of CDMAM images by human observers is slow and tedious. An automated method for scoring CDMAM images (CDCOM) is widely available to address this issue. We have developed an alternative automated scoring tool to score CDMAM images, Quantitative Assessment System (QAS), for similarly removing inter-and intra-observer variability. This provides additional valuable information about the contrast and SNR of each gold disc within the image. The QAS scores CDMAM phantom images using a scanning algorithm. QAS scoring results were compared with human observers and with CDCOM. It was found that QAS was comparable with human observers in scoring, whereas CDCOM consistently scored a higher number of discs correctly in CDMAM images compared with QAS and human observers.QAS results have been used to analyse the effects of different digital mammography system modulation transfer functions (MTFs) on fine details for a number of systems in the form of contrast degradation factor (CDF) measurements. CDF curves for experimentally acquired CDMAM images were compared with those for simulated CDMAM images to assess the accuracy of contrast measurements.
Abstract. This paper reports on a further development of an image simulation chain, and in particular, the inclusion of contrast degradation across an image using scatter to primary ratios calculated using Monte Carlo simulation. The Monte Carlo technique, using the Geant4 toolkit, has been implemented to model the scatter conditions when imaging the CDMAM phantom with commercial digital mammography. Observed differences between linear and cellular anti scatter grid are presented and discussed. These results support previous assumptions taken by Yip et al.[1].Key words: Digital Mammography, Monte Carlo simulations, Scatter, anti-scatter grids, CDMAM phantom.Presented at IWDM'2010 (Girona, Spain) doi: 10.1007/978-3-642-13666-5 85 url: http://link.springer.com/chapter/10.1007%2F978-3-642-13666-5_85
BackgroundNew digital technologies are being developed for X-ray mammography which have the potential to improve cancer detection rates, but there is a need to investigate how these perform in comparison with conventional 2D digital mammography, and how these should be used in an optimal way. Since clinical trials to assess the performance of any mammography system are expensive, there is great interest in the development of computer-based models of the breast and imaging systems which can be used for evaluation and optimisation.
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