Development of a physical 3D anthropomorphic breast phantom

Carton, Ann Katherine; Bakić, Predrag R.; Ullberg, Christer; Derand, Helen; Maidment, Andrew D. A.

doi:10.1118/1.3533896

Cited by 105 publications

(91 citation statements)

References 13 publications

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“…However, additional studies investigating the detectability of iodine in more realistic backgrounds are necessary because the material properties and frequency content of the structured phantom do not exactly match those of real breasts. In our ongoing work, a more realistic breast phantom based on the breast model by Bakic et al 10 is used. Identification of the optimal image acquisition technique is an important step in the implementation of new imaging technologies.…”

Section: Discussionmentioning

confidence: 99%

Optimization of a dual‐energy contrast‐enhanced technique for a photon‐counting digital breast tomosynthesis system: II. An experimental validation

2010

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Purpose: Previously, the authors developed a dual-energy ͑DE͒ acquisition technique for a photoncounting digital breast tomosynthesis ͑DBT͒ imaging system. Low-energy ͑LE͒ and high-energy ͑HE͒ images are acquired in a single scan by covering alternate slits of a multislit prepatient collimator with Sn and Cu, respectively. A theoretical model was used to optimize the technique. In this article, an experimental validation of this technique is presented. Methods: Experiments were performed on a prototype DBT system. LE and HE projection images were acquired sequentially; either a Sn or a Cu filter was positioned in the filter holder at the exit window of the x-ray tube. Sn filters from 0.113 to 0.242 mm thick and Cu filters from 0.103 to 0.267 mm were used. The images were acquired with a W target at 49 kV. Tomographic images, hereafter referred to as DBT images, were reconstructed using a shift-and-add algorithm. DE-DBT images were obtained by weighted logarithmic subtraction of the LE and HE images. Weighting factors w t that optimally cancel breast tissues with two different glandularities were assessed for 20-80 mm thick phantoms with 0%, 50%, and 100% glandularity. The mean and standard deviation in the per-pixel signal intensity ͑SI͒ were calculated in the DBT images. These data were used to calculate signal-difference-to-noise ratios ͑SDNRs͒ between iodine enhanced and nonenhanced polymethyl methacrylate backgrounds. To illustrate the feasibility of the technique, DE-DBT images of a structured phantom containing iodine disks were assessed. The experimental results were compared against the values obtained from a theoretical model of the imaging system. Results: The average difference between theoretical and experimental w t was found to range from 8% to 21%. Experimental w t values increase with phantom thickness and Cu thickness, depend somewhat on Sn thickness, and vary more as a function of breast composition in thick breasts than in thin breasts. Theoretical and experimental mean and standard deviation in the per-pixel SI differ by Ϫ7% to 10% and by Ϫ3% to 4%. Theoretical and experimental SDNR values differ, on average, by 1.5%. Iodine concentrations can be predicted from SDNR; the relationship can be accurately fit to a quadratic. In the images of the structured phantom, iodine concentrations of 1 mg/ cm 2 and larger are discernable. Conclusions:The strong agreement between experimental and theoretical results in this article indicates that the authors' computer model is accurate.

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Section: Discussionmentioning

confidence: 99%

Optimization of a dual‐energy contrast‐enhanced technique for a photon‐counting digital breast tomosynthesis system: II. An experimental validation

2010

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“…Such characteristics are for instance the fractal dimension and the power law exponent β of mammographic projection images, as well as other parameters like first order, second order or higher order statistical parameters. One such example is the UPenn breast phantom which provides both software and physical realisation [1]. It is also important to reproduce the imaging characteristics in three-dimensional imaging setups.…”

Section: Introductionmentioning

confidence: 99%

Development of Breast Software Phantom Dedicated for Research and Educational Purposes

Bliznakova¹

2017

RadJ

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Abstract. Physical test phantoms are valuable tools in the assessment of novel breast imaging techniques. It is important that they reproduce the breast characteristics as close as possible. This paper presents a methodology for the creation of a software breast phantom that produces a structured background in both two dimensional mammography and breast tomosynthesis. The phantom is composed of spherical objects different in size placed in a semi-cylindrical container. This software breast phantom is used to further improve the existing physical phantom in terms of use of other more appropriate materials or a structure presentation different than the use of spheres. For this purpose, a simulation platform that allows the creation of software versions of the physical phantom with parameters (sizes, shapes, materials) easily adjusted by the user, was developed. Besides the research aspects of the computational phantom, the software tool has turned out to be very useful application for the training of Medical Physics Experts. Specifically, the tool has been used in the training of the participants of module 5 "The use of physical and virtual anthropomorphic phantoms for image quality and patient dose optimization" from the EUTEMPE-RX project that is related to the qualification of Medical Physics Experts in Diagnostic and Interventional Radiology.

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“…Although the 2D projection views from this phantom are stunningly realistic; the anatomic noise of the phantom is contained in a single plane, which disallows its use in 3D imaging modalities. Recently, Carton and colleagues have developed a physical version of their software breast phantom [21]. The methods used to make a single phantom are time-consuming and costly, but the methods used (namely, rapid prototyping) has potential to be useful in future studies where a physical phantom is needed to correspond exactly to a software one.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Breast Tomosynthesis Imaging Systems for Computer-Aided Detection

Lau¹

2011

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)2 The goal of this research is to develop methodology for optimizing acquisition parameters for digital tomosynthesis of the breast (DBT). Optimization is important to be able to study whether DBT can be used in place of screening mammography with better sensitivity and specificity. The research is composed of three parts: 1) to develop a computer model to simulate tomosynthesis, 2) to generate realistic breast and tumor models, and 3) to determine optimal acquisition parameters by using a genetic algorithm with CADe performance as an indicator of fitness. In this report, we summarize the research done for this project to date, focussing particularly on the development of an anthropomorphic software breast phantom and its validation. Lastly, we evaluate methods for measuring anatomic noise in projection imaging.Digital breast tomosynthesis, optimization, computer simulation, anatomic noise, anthropomorphic breast phantom 30

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Development of a physical 3D anthropomorphic breast phantom

Abstract: The authors have developed a technique to produce 3D anthropomorphic breast phantoms with known ground truth, yielding highly realistic x-ray images. Such phantoms may serve both qualitative and quantitative performance assessments for 2D and 3D breast x-ray imaging systems.

Cited by 105 publications

References 13 publications

Optimization of a dual‐energy contrast‐enhanced technique for a photon‐counting digital breast tomosynthesis system: II. An experimental validation

Optimization of a dual‐energy contrast‐enhanced technique for a photon‐counting digital breast tomosynthesis system: II. An experimental validation

Development of Breast Software Phantom Dedicated for Research and Educational Purposes

Optimization of Breast Tomosynthesis Imaging Systems for Computer-Aided Detection

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