A European Protocol for Technical Quality Control of Breast Tomosynthesis Systems

Engen, Ruben E. van; Bosmans, Hilde; Bouwman, Ramona W.; Dance, David R.; Heid, Patrice; Lazzari, Barbara; Marshall, Nicholas; Schopphoven, S; Strudley, Celia; Thijssen, M.A.O.; Young, Kenneth C.

doi:10.1007/978-3-319-07887-8_63

Cited by 15 publications

(40 citation statements)

References 3 publications

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“…Given their similar definition, Dance et al compared their resulting t factors with the RGD(α) values of Sechopoulos et al and found good agreement (figure 9). Factors for equipment manufactured by four other companies are given in van Engen et al (2015). Dance and colleagues determined that using the same t factors for different x-ray spectra introduces a maximum error of 5.7% for the conditions studied.…”

Section: Conversion Factors For Dbt Using Simple Geometrical Modelmentioning

confidence: 99%

“…The first, produced by the AAPM (Sechopoulos et al , 2014), is based on the conversion factors of Sechopoulos et al (2007a, 2008), and the second European-based draft-protocol (van Engen et al , 2015) uses the conversion factors of Dance et al (2011). There are important differences between the two protocols as they use very different positions of the dosimeter for the measurements of air kerma.…”

Section: National and International Protocolsmentioning

confidence: 99%

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Dosimetry in x-ray-based breast imaging

2016

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The estimation of the mean glandular dose to the breast (MGD) for x-ray based imaging modalities forms an essential part of quality control and is needed for risk estimation and for system design and optimisation. This review considers the development of methods for estimating the MGD for mammography, digital breast tomosynthesis (DBT) and dedicated breast CT (DBCT). Almost all of the methodology used employs Monte Carlo calculated conversion factors to relate the measurable quantity, generally the incident air kerma, to the MGD. After a review of the size and composition of the female breast, the various mathematical models used are discussed, with particular emphasis on models for mammography. These range from simple geometrical shapes, to the more recent complex models based on patient DBCT examinations. The possibility of patient-specific dose estimates is considered as well as special diagnostic views and the effect of breast implants. Calculations using the complex models show that the MGD for mammography is overestimated by about 30% when the simple models are used. The design and uses of breast-simulating test phantoms for measuring incident air kerma are outlined and comparisons made between patient and phantom-based dose estimates. The most widely used national and international dosimetry protocols for mammography are based on different simple geometrical models of the breast, and harmonisation of these protocols using more complex breast models is desirable.

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Section: Conversion Factors For Dbt Using Simple Geometrical Modelmentioning

confidence: 99%

Section: National and International Protocolsmentioning

confidence: 99%

Dosimetry in x-ray-based breast imaging

2016

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“…Þ with S being the averaged HU on CON 120kVp , iodine concentration (C iodine ) or effective atomic number (Z eff ) in two homogeneous ROI, and σ being the standard deviation in the same ROIs [16].…”

Section: Image Analysismentioning

confidence: 99%

Consolidated lung on contrast-enhanced chest CT: the use of spectral-detector computed tomography parameters in differentiating atelectasis and pneumonia

Konietzke

Steentoft

Wagner

et al. 2021

Heliyon

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“…Physical phantoms are an established means of quantifying a (technical) measure of image quality and ensure that image quality meets some sufficient level while remaining within accepted dose levels [12]. It is likely that the practice of physical phantom evaluation, initially scored by human observers, will be carried over to the assessment and optimization of DBT devices.…”

Section: Introductionmentioning

confidence: 99%

“…While evaluation of technical parameters that influence imaging performance yields useful information [12,[15][16][17], some of these methods involve the use of Fourier techniques, which require system linearity and therefore must be applied with care to reconstructed image datasets. As an alternative, many studies have described the potential of spatial domain model observers (MO) [18][19][20] to perform these detection tasks for a variety of medical imaging modalities, including CT [21], FFDM [22] and fluoroscopy [23].…”

Section: Introductionmentioning

confidence: 99%

Systematic approach to a channelized Hotelling model observer implementation for a physical phantom containing mass-like lesions: Application to digital breast tomosynthesis

et al. 2019

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Purpose: to develop a channelized model observer (CHO) that matches human reader (HR) scoring of a physical phantom containing breast simulating structure and mass lesion-like targets for use in quality control of digital breast tomosynthesis (DBT) imaging systems. Methods: A total of 108 DBT scans of the phantom was acquired using a Siemens Inspiration DBT system. The detectability of mass-like targets was evaluated by human readers using a 4-alternative forced choice (4-AFC) method. The percentage correct (PC) values were then used as the benchmark for CHO tuning, again using a 4-AFC method. Three different channel functions were considered: Gabor, Laguerre-Gauss and Difference of Gaussian. With regard to the observer template, various methods for generating the expected signal were studied along with the influence of the number of training images used to form the covariance matrix for the observer template. Impact of bias in the training process on the observer template was evaluated next, as well as HR and CHO reproducibility. Results: HR performance was most closely matched by 8 Gabor channels with tuned phase, orientation and frequency, using an observer template generated from training image data. Just 24 DBT image stacks were required to give robust CHO performance with 0% bias, although a bias of up to 33% in the training images also gave acceptable performance. CHO and HR reproducibility were similar (on average 3.2 PC versus 3.4 PC). Conclusions: The CHO algorithm developed matches human reader performance and is therefore a promising candidate for automated readout of phantom studies.

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A European Protocol for Technical Quality Control of Breast Tomosynthesis Systems

Cited by 15 publications

References 3 publications

Dosimetry in x-ray-based breast imaging

Dosimetry in x-ray-based breast imaging

Consolidated lung on contrast-enhanced chest CT: the use of spectral-detector computed tomography parameters in differentiating atelectasis and pneumonia

Systematic approach to a channelized Hotelling model observer implementation for a physical phantom containing mass-like lesions: Application to digital breast tomosynthesis

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