Validation of a Digital Mammography Image Simulation Chain with Automated Scoring of CDMAM Images

Yip, Mary; Alsager, Abdulaziz; Lewis, Emma; Wells, Kevin; Young, Kenneth C.

doi:10.1007/978-3-540-70538-3_57

Cited by 7 publications

(12 citation statements)

References 5 publications

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“…It is observed in Figure 5 that images simulation using both uniform scatter and scatter calculated from Monte Carlo are within the error bars, so the results shown in this work support previous assumption used by [1]. Moreover, the simulation chain still have to be improved.…”

Section: Discussionsupporting

confidence: 79%

“…A comparison of experimental acquired data, previous simulation data using a globally uniform SPR [1] and results from this work are shown in Figure 5 for GE systems and three different mean glandular doses(MGD).…”

Section: Resultsmentioning

confidence: 98%

“…This phantom is widely used for testing the performance of digital mammography systems in Europe. Previously, Yip et al [1] presented contrast detail curves calculated using a model incorporating heel effect, geometric and detector blurring and image noise. Loss of contrast due to scatter was assumed to be globally uniform across the image.…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, we address this previous assumption by incorporating scatter to primary ratio (SPR) maps calculated from Monte Carlo simulations. Figure 1a shows an adapted diagram from [1] of the simulation chain including the SPR component. The simulation chain has two parts.…”

Section: Introductionmentioning

confidence: 99%

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Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images

Díaz

Yip

Cabello

et al. 2010

Digital Mammography

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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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Section: Discussionsupporting

confidence: 79%

Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images

Díaz

Yip

Cabello

et al. 2010

Digital Mammography

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“…7 In brief, the process for image simulation of a CDMAM phantom involved creation of two images: a blurred resampled image and a noise image.…”

Section: Cdmam Simulationmentioning

confidence: 99%

Automated scoring method for the CDMAM phantom

et al. 2009

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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.

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Physical Parameters of Image Quality

Konstantinidis

2014

Comprehensive Biomedical Physics

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Validation of a Digital Mammography Image Simulation Chain with Automated Scoring of CDMAM Images

Cited by 7 publications

References 5 publications

Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images

Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images

Automated scoring method for the CDMAM phantom

Physical Parameters of Image Quality

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