Detection of Microcalcification Clusters in 2D-Mammography and Digital Breast Tomosynthesis and the Relation to the Standard Method of Measuring Image Quality

The aim of this study was to compare the detection of microcalcification clusters by human observers in breast images using 2D-mammography and narrow (15° /15 projections) and wide (50° /25 projections) angle digital breast tomosynthesis (DBT). Furthermore, the relation between the standard European method of measuring mammographic image quality using the CDMAM phantom and the calcification detection in 2D mammography and DBT was investigated. Images of 6 cm thick simulated compressed breasts, were produced with and without inserted microcalcification clusters using a set of image modelling tools, which were developed to represent clinical imaging by mammography and DBT. The simulated microcalcification clusters had a range of microcalcification diameters (100 μm-500 μm). Commercially available software was used for image processing and image reconstruction. The images were then used in a series of 4-alternative forced choice human observer experiments conducted for signal detection with the microcalcification clusters as targets. For each of the three imaging modalities the threshold diameter required for microcalcification detection was determined. Results showed that 2D-mammography has a lower threshold diameter for microcalcification detection than both DBT imaging modalities and that narrow angle DBT has a lower threshold diameter than wide angle DBT. Additionally, it was shown that the CDMAM-determined threshold gold thickness is a good predictor of microcalcification detection.

[1]  D R Dance,et al.  Average glandular dose in digital mammography and digital breast tomosynthesis: comparison of phantom and patient data , 2015, Physics in medicine and biology.

[2]  Ioannis Sechopoulos,et al.  Optimization of the acquisition geometry in digital tomosynthesis of the breast. , 2009, Medical physics.

[3]  David Gur,et al.  Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison. , 2011, AJR. American journal of roentgenology.

[4]  Heang-Ping Chan,et al.  Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views. , 2014, Radiology.

[5]  Kenneth C. Young,et al.  Conversion of mammographic images to appear with the noise and sharpness characteristics of a different detector and x-ray system. , 2012, Medical physics.

[6]  Hilde Bosmans,et al.  Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images , 2014, Physics in medicine and biology.

[7]  Oliver Diaz,et al.  Image simulation and a model of noise power spectra across a range of mammographic beam qualities. , 2014, Medical physics.

[8]  Hilde Bosmans,et al.  Performance comparison of breast imaging modalities using a 4AFC human observer study , 2015, Medical Imaging.

[9]  A. Burgess.  Comparison of receiver operating characteristic and forced choice observer performance measurement methods. , 1995, Medical physics.

[10]  Sara Gavenonis,et al.  Calcifications in the Breast and Digital Breast Tomosynthesis , 2011, The breast journal.

[11]  E. Halpern,et al.  Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial. , 2013, Radiology.

[12]  H. Bosmans,et al.  The simulation of 3D microcalcification clusters in 2D digital mammography and breast tomosynthesis. , 2011, Medical physics.