Image simulation and a model of noise power spectra across a range of mammographic beam qualities

Mackenzie, Alistair; Dance, David R.; Díaz, Oliver; Young, Kenneth C.

doi:10.1118/1.4900819

Cited by 46 publications

(38 citation statements)

References 40 publications

(46 reference statements)

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“…No movement of the breast was taken into account in the simulation. Finally, the methods of Mackenzie et al [14,15] were used in the simulation process to further blur and add noise to the images appropriate for the detector and radiation dose being simulated.…”

Section: Image Simulationmentioning

confidence: 99%

Detection of microcalcification clusters by 2D-mammography and narrow and wide angle digital breast tomosynthesis

et al. 2016

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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). Simulated microcalcification clusters with a range of microcalcification diameters (125 μm-275 μm) were inserted into 6 cm thick simulated compressed breasts. Breast images 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 tomosynthesis. Commercially available software was used for image processing and image reconstruction. The images were then used in a series of 4-alternative forced choice (4AFC) human observer experiments conducted for signal detection with the microcalcification clusters as targets. The minimum detectable calcification diameter was found for each imaging modality: (i) 2D-mammography: 164±5 μm (ii) narrow angle DBT: 210±5 μm, (iii) wide angle DBT: 255±4 μm. A statistically significant difference was found between the minimum detectable calcification diameters that can be detected by the three imaging modalities. Furthermore, it was found that there was not a statistically significant difference between the results of the five observers that participated in this study. In conclusion, this study presents a method that quantifies the threshold diameter required for microcalcification detection, using high resolution, realistic images with observers, for the comparison of DBT geometries with 2D-mammography. 2D-mammography can visualise smaller detail diameter than both DBT imaging modalities and narrow-angle DBT can visualise a smaller detail diameter than wide-angle DBT.

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Section: Image Simulationmentioning

confidence: 99%

Detection of microcalcification clusters by 2D-mammography and narrow and wide angle digital breast tomosynthesis

et al. 2016

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“…Then, scatter was added to the images using data estimated from Monte Carlo simulations. Experimental measures of MTF (modulation transfer function) and NPS (noise power spectrum) performed on the system being simulated were used to add system blur and noise (system, electronic and quantum) 7 . The mean glandular dose (MGD) was 2.5mGy for both imaging modalities (2D and DBT).…”

Section: Image Simulation Chainmentioning

confidence: 99%

Generation of 3D synthetic breast tissue

et al. 2016

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Virtual clinical trials are an emergent approach for the rapid evaluation and comparison of various breast imaging technologies and techniques using computer-based modeling tools. A fundamental requirement of this approach for mammography is the use of realistic looking breast anatomy in the studies to produce clinically relevant results. In this work, a biologically inspired approach has been used to simulate realistic synthetic breast phantom blocks for use in virtual clinical trials. A variety of high and low frequency features (including Cooper's ligaments, blood vessels and glandular tissue) have been extracted from clinical digital breast tomosynthesis images and used to simulate synthetic breast blocks. The appearance of the phantom blocks was validated by presenting a selection of simulated 2D and DBT images interleaved with real images to a team of experienced readers for rating using an ROC paradigm. The average areas under the curve for 2D and DBT images were 0.53±.04 and 0.55±.07 respectively; errors are the standard errors of the mean. The values indicate that the observers had difficulty in differentiating the real images from simulated images. The statistical properties of simulated images of the phantom blocks were evaluated by means of power spectrum analysis. The power spectrum curves for real and simulated images closely match and overlap indicating good agreement.

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“…Such images are difficult to be arranged because it would imply exposing patients to several levels of radiation. To solve this issue, some works propose algorithms capable of simulating dose reduction in clinical mammograms (SAUNDERS; SAMEI, 2003;BATH et al, 2005;KROFT et al, 2006;VELDKAMP et al, 2009;SVALKVIST;BATH, 2010;MACKENZIE et al, 2012;MACKENZIE et al, 2014). The next chapter will present methods of performing this simulation and it will discuss limitations associated with these methods.…”

Section: Quantum Noisementioning

confidence: 99%

“…Furthermore, the method is based on the NPS, which can be argued to be too complicated to be applied clinically. (KROFT et al, 2006) Other methods have been proposed recently (MACKENZIE et al, 2012;MACKENZIE et al, 2014). However, all of them are based on the noise information provided by the NPS, therefore not accounting for the variation on the noise behavior along the radiation field.…”

Section: Introductionmentioning

confidence: 99%

“…Another approach to validate the methods for dose reduction is to simulate the effect of reduced exposure in mammograms by post processing clinical images (SAUNDERS; SAMEI, 2003;BATH et al, 2005;KROFT et al, 2006;VELDKAMP et al, 2009;SVALKVIST;BATH, 2010;MACKENZIE et al, 2012;MACKENZIE et al, 2014). In fact, such simulation methods have been used as tools in most studies regarding the influence of dose reduction on the detection of breast lesions (TIMBERG et al, 2006;SAUNDERS et al, 2007;RUSCHIN et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Método de simulação da redução da dose de radiação na mamografia digital a partir da análise das características do ruído dos equipamentos mamográficos

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Image simulation and a model of noise power spectra across a range of mammographic beam qualities

Cited by 46 publications

References 40 publications

Detection of microcalcification clusters by 2D-mammography and narrow and wide angle digital breast tomosynthesis

Detection of microcalcification clusters by 2D-mammography and narrow and wide angle digital breast tomosynthesis

Generation of 3D synthetic breast tissue

Método de simulação da redução da dose de radiação na mamografia digital a partir da análise das características do ruído dos equipamentos mamográficos

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