Estimation of scattered radiation in digital breast tomosynthesis

Díaz, Oliver; Dance, David R.; Young, Kenneth C.; Elangovan, Premkumar; Bakić, Predrag R.; Wells, Kevin

doi:10.1088/0031-9155/59/15/4375

Cited by 29 publications

(38 citation statements)

References 30 publications

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“…The SPSFs have been validated against the data published by Diaz et al 7 and Sechopoulos et al Table 3 shows the comparison with the previous published data, the results show excellent agreement with both Diaz and Sechopoulos. In this geometry the compression and support paddles were removed, leaving only a cylindrical phantom and an air gap between the phantom and an ideal detector.…”

Section: Spsf Validationsupporting

confidence: 53%

“…In future measurements, further corrections should be applied around these areas, as suggested by Diaz et al 7 . Towards the chest-wall area, the discrepancy is probably introduced by the effect that the plastic holder of the phantom (outside the collimated area) introduces in the scatter.…”

Section: Discussionmentioning

confidence: 99%

“…narrow pencil beam method 7 . Energy from scattered radiation (S) was binned into 35µm radius (r) concentric annuli (up to 175mm).…”

Section: Definition Of the Scatter Point Spread Function (Spsf)mentioning

confidence: 99%

“…Methods such as the convolution-based scatter estimation, have lately become attractive as they are faster and more flexible than direct Monte Carlo (MC) simulations 4,6,7 . This specific method is based on the idea that the scatter in the system is spatially diffuse, thus it can be approximated by a two-dimensional low-pass convolution filter of the primary image 3 .…”

Section: Introductionmentioning

confidence: 99%

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Scatter reduction for grid-less mammography using the convolution-based image post-processing technique

Marimón

Nait-Charif

Khan

et al. 2017

Medical Imaging 2017: Physics of Medical Imaging

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X-ray Mammography examinations are highly affected by scattered radiation, as it degrades the quality of the image and complicates the diagnosis process. Anti-scatter grids are currently used in planar mammography examinations as the standard physical scattering reduction technique. This method has been found to be inefficient, as it increases the dose delivered to the patient, does not remove all the scattered radiation and increases the price of the equipment. Alternative scattering reduction methods, based on post-processing algorithms, are being investigated to substitute anti-scatter grids. Methods such as the convolution-based scatter estimation have lately become attractive as they are quicker and more flexible than pure Monte Carlo (MC) simulations. In this study we make use of this specific method, which is based on the premise that the scatter in the system is spatially diffuse, thus it can be approximated by a two-dimensional low-pass convolution filter of the primary image. This algorithm uses the narrow pencil beam method to obtain the scatter kernel used to convolve an image, acquired without anti-scatter grid. The results obtained show an image quality comparable, in the worst case, to the grid image, in terms of uniformity and contrast to noise ratio. Further improvement is expected when using clinically-representative phantoms.

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Section: Spsf Validationsupporting

confidence: 53%

Section: Discussionmentioning

confidence: 99%

“…narrow pencil beam method 7 . Energy from scattered radiation (S) was binned into 35µm radius (r) concentric annuli (up to 175mm).…”

Section: Definition Of the Scatter Point Spread Function (Spsf)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Scatter reduction for grid-less mammography using the convolution-based image post-processing technique

Marimón

Nait-Charif

Khan

et al. 2017

Medical Imaging 2017: Physics of Medical Imaging

View full text Add to dashboard Cite

show abstract

“…Then, an attenuation template is created from the images which correspond to the relative increase in the attenuation due to the inclusion of the lesion at the insertion site. The template is multiplied with the normal image after removal of scatter (estimated from Monte Carlo simulations 9 ) and any other known offsets to simulate the appearance of the lesion in the image. After modification of the primary image, the scatter and the known pixel offsets are reinstated.…”

Section: Simulation Of Spiculesmentioning

confidence: 99%

Simulation of spiculated breast lesions

Elangovan

Alrehily

et al. 2016

SPIE Proceedings

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Virtual clinical trials are a promising new approach increasingly used for the evaluation and comparison of breast imaging modalities. A key component in such an assessment paradigm is the use of simulated pathology, in particular, simulation of lesions. Breast mass lesions can be generally classified into two categories based on their appearance; nonspiculated masses and spiculated masses. In our previous work, we have successfully simulated non-spiculated masses using a fractal growth process known as diffusion limited aggregation. In this new work, we have extended the DLA model to simulate spiculated lesions by using features extracted from patient DBT images containing spiculated lesions. The features extracted included spicule length, width, curvature and distribution. This information was used to simulate realistic looking spicules which were attached to the surface of a DLA mass to produce a spiculated mass. A batch of simulated spiculated masses was inserted into normal patient images and presented to an experienced radiologist for review. The study yielded promising results with the radiologist rating 60% of simulated lesions in 2D and 50% of simulated lesions in DBT as realistic.

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Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes

et al. 2017

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Purpose To develop a set of accurate 2D models of compressed breasts undergoing mammography or breast tomosynthesis, based on objective analysis, to accurately characterize mammograms with few linearly independent parameters, and to generate novel clinically realistic paired cranio-caudal (CC) and medio-lateral oblique (MLO) views of the breast. Methods We seek to improve on an existing model of compressed breasts by overcoming detector size bias, removing the nipple and non-mammary tissue, pairing the CC and MLO views from a single breast, and incorporating the pectoralis major muscle contour into the model. The outer breast shapes in 931 paired CC and MLO mammograms were automatically detected with an in-house developed segmentation algorithm. From these shapes three generic models (CC-only, MLO-only, and joint CC/MLO) with linearly independent components were constructed via principal component analysis (PCA). The ability of the models to represent mammograms not used for PCA was tested via leave-one-out cross-validation, by measuring the average distance error (ADE). Results The individual models based on six components were found to depict breast shapes with accuracy (mean ADE-CC=0.81 mm, ADE-MLO=1.64 mm, ADE-Pectoralis=1.61 mm), outperforming the joint CC/MLO model (p≤0.001). The joint model based on 12 principal components contains 99.5% of the total variance of the data, and can be used to generate new clinically realistic paired CC and MLO breast shapes. This is achieved by generating random sets of 12 principal components, following the Gaussian distributions of the histograms of each component, which were obtained from the component values determined from the images in the mammography database used. Conclusion Our joint CC/MLO model can successfully generate paired CC and MLO view shapes of the same simulated breast, while the individual models can be used to represent with high accuracy clinical acquired mammograms with a small set of parameters. This is the first step towards objective 3D compressed breast models, useful for dosimetry and scatter correction research, among other applications.

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Estimation of scattered radiation in digital breast tomosynthesis

Abstract: Abstract. 13 Digital breast tomosynthesis (DBT) is a promising technique to overcome the tissue

Cited by 29 publications

References 30 publications

Scatter reduction for grid-less mammography using the convolution-based image post-processing technique

Scatter reduction for grid-less mammography using the convolution-based image post-processing technique

Simulation of spiculated breast lesions

Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes

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