Physical Breast Phantom Dedicated for Mammography Studies

Feradov, Firgan; Marinov, Stoyko; Bliznakova, Kristina

doi:10.1007/978-3-030-31635-8_41

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…However, finding materials capable of being used for this purpose using the FFF 3D printing technique is still a challenge. The results found in this study corroborate with Feradov et al [32] and their results on PLA suitability for skin tissue equivalence.…”

Section: Comparison With Reference Datasupporting

confidence: 93%

Attenuation properties of common 3D printed FFF plastics for mammographic applications

Oliveira

Savi²,

Andrade³

et al. 2022

Braz. J. Rad. Sci.

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The aim of this study was to evaluate the feasibility of using acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA) 3D printing filaments as materials for mammography phantom construction, comparing their attenuation properties at two different set-ups: at a Calibration Laboratory and directly to a mammography unit. The attenuation of 3D printed test phantoms of two types of common 3D printing Fused Filament Fabrication (FFF) filaments (ABS and PLA) were characterized in comparison with polymethylmethacrylate (PMMA). The measurements were carried out with standard IEC 61267 X-rays, using RQR 2-M and RQR 4-M beam qualities at the Instruments Calibration Laboratory, and then applied to a mammography unit, with measurements with 28 kVp and 35 kVp. Attenuation characteristics evaluated indicates the suitable equivalence of PLA to PMMA for 3D printing breast tissue equivalent complex phantoms. The plastic materials used in this study suggest that the FFF technique may be suitable for mammography phantom development.

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Section: Comparison With Reference Datasupporting

confidence: 93%

Attenuation properties of common 3D printed FFF plastics for mammographic applications

Oliveira

Savi²,

Andrade³

et al. 2022

Braz. J. Rad. Sci.

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“…The experimental procedure requires: (a) physical models of the computational phantoms, shown in figure 2, and (b) experimental acquisition of x-ray images of these physical model at synchrotron facility with the same acquisition setup, shown in figure 1. For the creation of physical models, the 3D printing facilities in our laboratory will be used [30,31]. They will be placed on a hardware platform at a synchrotron beamline, providing x-rays, suitable for mammography applications.…”

Section: Resultsmentioning

confidence: 99%

Computational simulations and assessment of two approaches for x-ray phase contrast imaging

Bliznakova

Dukov

2022

J. Phys.: Conf. Ser.

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X-ray phase-contrast imaging is a high-resolution imaging that permits an increase of the perceptibility of the details in three-dimensional objects, such as human tissues compared to conventional absorption imaging. There are different approaches for implementing phase-contrast imaging and their introduction into clinical practice requires advanced computational tools. A long-term goal of our research is the development of computational models of breast phase-contrast imaging. The aim of this study is to develop a software module for implementing grating-based phase-contrast imaging. For this purpose, an existing in-house software application for x-ray imaging with a function to model and simulate propagation-based phase-contrast x-ray images has been extended to include a model of grating-based imaging. To test the new functionality, four computational phantoms reflecting features, which can be screened in the real breast tissue and which differ in their complexity, were designed. Planar x-ray images in absorption, propagation-based and grating-based modes were generated and compared. Results showed improved visual appearance of the simulated objects in images obtained by simulating grating-based imaging setup. The developed subroutine is planned to be experimentally validated at synchrotron facility. The new software functionality will be exploited in studies related to new x-ray imaging techniques for breast screening and diagnosing.

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“…The developed tool was used in a series of image evaluation studies [49][50][51][52][53]. In the following paragraph, we show the use of the tool in two original research applications in the field of x-ray breast imaging: (1) evaluation of the features from a series of left and right (pairs) CC breast clinical mammograms, and (2) evaluation of the suitability of newly proposed and developed breast phantoms for x-ray-based imaging.…”

Section: Case Studiesmentioning

confidence: 99%

Radiomics software for breast imaging optimization and simulation studies

Marinov

Buliev²,

Cockmartin

et al. 2021

Physica Medica

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Background and Objective: The development, control and optimisation of new x-ray breast imaging modalities could benefit from a quantitative assessment of the resulting image textures. The aim of this work was to develop a software tool for routine radiomics applications in breast imaging, which will also be available upon request. Methods: The tool (developed in MATLAB) allows image reading, selection of Regions of Interest (ROI), analysis and comparison. Requirements towards the tool also included convenient handling of common medical and simulated images, building and providing a library of commonly applied algorithms and a friendly graphical user interface. Initial set of features and analyses have been selected after a literature search. Being open, the tool can be extended, if necessary. Results: The tool allows semi-automatic extracting of ROIs, calculating and processing a total of 23 different metrics or features in 2D images and/or in 3D image volumes. Computations of the features were verified against computations with other software packages performed with test images. Two case studies illustrate the applicability of the tool -(i) features on a series of 2D 'left' and 'right' CC mammograms acquired on a Siemens Inspiration system were computed and compared, and (ii) evaluation of the suitability of newly proposed and developed breast phantoms for x-ray-based imaging based on reference values from clinical mammography images. Obtained results could steer the further development of the physical breast phantoms. Conclusions: A new image analysis toolbox was realized and can now be used in a multitude of radiomics applications, on both clinical and test images.

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Physical Breast Phantom Dedicated for Mammography Studies

Cited by 11 publications

References 12 publications

Attenuation properties of common 3D printed FFF plastics for mammographic applications

Attenuation properties of common 3D printed FFF plastics for mammographic applications

Computational simulations and assessment of two approaches for x-ray phase contrast imaging

Radiomics software for breast imaging optimization and simulation studies

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