Automated scoring method for the CDMAM phantom

M. Yip; W. Chukwu; E. Kottis; E. Lewis; J. Oduko; O. Gundogdu; K. C. Young; K. Wells

doi:10.1117/12.811657

12 March 2009 Automated scoring method for the CDMAM phantom

M. Yip, W. Chukwu, E. Kottis, E. Lewis, J. Oduko, O. Gundogdu, K. C. Young, K. Wells

Proceedings Volume 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment; 72631A (2009) https://doi.org/10.1117/12.811657
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

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.

Citation Download Citation

M. Yip, W. Chukwu, E. Kottis, E. Lewis, J. Oduko, O. Gundogdu, K. C. Young, and K. Wells "Automated scoring method for the CDMAM phantom", Proc. SPIE 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment, 72631A (12 March 2009); https://doi.org/10.1117/12.811657

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