Equivalent breast thickness and dose sensitivity of a next iteration 3D structured breast phantom with lesion models

Salomon, Elisabeth; Semturs, Friedrich; Unger, Ewald; Cockmartin, Lesley; Petrov, Dimitar; Vancoillie, Liesbeth; Figl, Michael; Bosmans, Hilde; Hummel, Johann

doi:10.1117/12.2548956

Cited by 5 publications

(3 citation statements)

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“…Figure 25 shows a photograph of L1 along with DM and DBT images. An update of this phantom is underway, in which the water surrounding the spheres has been replaced by liquid paraffin oil (Salomon et al 2020).…”

Section: Ku Leuven L1 Phantommentioning

confidence: 99%

Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data

Marshall¹,

Bosmans²

2022

Phys. Med. Biol.

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Digital breast tomosynthesis (DBT) has become a well-established breast imaging technique, whose performance has been investigated in many clinical studies, including a number of prospective clinical trials. Results from these studies generally point to non-inferiority in terms of microcalcification detection and superior mass-lesion detection for DBT imaging compared to digital mammography (DM). This modality has become an essential tool in the clinic for assessment and ad-hoc screening but is not yet implemented in most breast screening programmes at a state or national level. While evidence on the clinical utility of DBT has been accumulating, there has also been progress in the development of methods for technical performance assessment and quality control of these imaging systems. DBT is a relatively complicated “pseudo-3D” modality whose technical assessment poses a number of difficulties. This paper reviews methods for the technical performance assessment of DBT devices, starting at the component level in part one and leading up to discussion of system evaluation with physical test objects in part two. We provide some historical and basic theoretical perspective, often starting from methods developed for DM imaging. Data from a multi-vendor comparison are also included, acquired under the medical physics QC protocol developed by EUREF and currently being consolidated by a European Federation of Organisations for Medical Physics (EFOMP) working group. These data and associated methods can serve as a reference for the development of reference data and provide some context for clinical studies.

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Section: Ku Leuven L1 Phantommentioning

confidence: 99%

Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data

Marshall¹,

Bosmans²

2022

Phys. Med. Biol.

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“…A description of a prototype of the new phantom was published by Salomon et al. in literature 19 . It had the shape of a half cylinder with 24 cm diameter and a total height of 53.5 mm (see Figure 1 ).…”

Section: Methodsmentioning

confidence: 99%

Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesis

et al. 2023

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BackgroundProjection imaging phantoms are often optimized for 2‐dimensional image characteristics in homogeneous backgrounds. Therefore, evaluation of image quality in tomosynthesis (DBT) lacks accepted and established phantoms.PurposeWe describe a 3D breast phantom with a structured, variable background. The phantom is an adaptable and advanced version of the L1 phantom by Cockmartin et al. Phantom design and its use for quality assurance measurements for DBT devices are described. Four phantoms were compared to assess the objectivity.MethodsThe container size was increased to a diameter of 24 cm and a total height of 53.5 mm. Spiculated masses were replaced by five additional non‐spiculated masses for higher granularity in threshold diameter resolution. These patterns are adjustable to the imaging device. The masses were printed in one session with a base layer using two‐component 3D printing. New materials compared to the L1 phantom improved the attenuation difference between the lesion models and the background. Four phantoms were built and intra‐human observer, inter‐human observer and inter‐phantom variations were determined. The latter assess the reproducibility of the phantom production. Coefficients of variance (V) were calculated for all three variations.ResultsThe difference of the attenuation coefficients between the lesion models and the background was 0.20 cm−1 (with W/Al at 32 kV, equivalent to 19–20 keV effective energy) compared to 0.21 cm−1 for 50/50 glandular/adipose breast tissue and cancerous lesions. PMMA equivalent thickness of the phantom was 47.0 mm for the Siemens Mammomat Revelation. For the masses, the for the intra‐observer variation was 0.248, the averaged inter‐observer variation, was 0.383. for phantom variance was 0.321. For the micro‐calcifications, was 0.0429, 0.0731 and 0.0759.ConclusionsPosition, orientation and shape of the masses are reproducible and attenuation differences appropriate. The phantom presented proved to be a candidate test object for quality control.

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“…9b) is designed as a successor to the "L1" sphere phantom (Fig. 9a) by a cooperation between the team in KU Leuven and in the University of Vienna [54]. This new iteration has several differences when compared to the first version of the object -L1 has compressed breast thickness equivalent of 6 cm and physical thickness of 4.8 cm, while L2 has thickness equivalent of 5.5 cm and physical thickness of 5.35 cm.…”

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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Equivalent breast thickness and dose sensitivity of a next iteration 3D structured breast phantom with lesion models

Cited by 5 publications

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Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data

Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data

Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesis

Radiomics software for breast imaging optimization and simulation studies

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