A task-based evaluation method for x-ray breast imaging systems using variable-background phantoms

Park, Subok; Liu, Haimo; Jennings, Robert J.; Leimbach, Robert; Kyprianou, Iacovos S.; Badano, Aldo; Myers, Kyle J.

doi:10.1117/12.813572

Cited by 8 publications

(13 citation statements)

References 3 publications

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“…Anthropomorphic phantoms have been implemented in other imaging modalities and have been used to demonstrate that simple, nonanthropomorphic phantoms produce misleading results when used to optimize imaging systems. 24,[57][58][59] The phantom described in this work will provide a much-needed platform for better understanding the interaction of breast MRI acquisition parameters with lesion detection and estimation.…”

Section: Discussionmentioning

confidence: 99%

An anthropomorphic phantom for quantitative evaluation of breast MRI

et al. 2011

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Purpose: In this study, the authors aim to develop a physical, tissue-mimicking phantom for quantitative evaluation of breast MRI protocols. The objective of this phantom is to address the need for improved standardization in breast MRI and provide a platform for evaluating the influence of image protocol parameters on lesion detection and discrimination. Quantitative comparisons between patient and phantom image properties are presented. Methods: The phantom is constructed using a mixture of lard and egg whites, resulting in a random structure with separate adipose-and glandular-mimicking components. T 1 and T 2 relaxation times of the lard and egg components of the phantom were estimated at 1.5 T from inversion recovery and spin-echo scans, respectively, using maximum-likelihood methods. The image structure was examined quantitatively by calculating and comparing spatial covariance matrices of phantom and patient images. A static, enhancing lesion was introduced by creating a hollow mold with stereolithography and filling it with a gadolinium-doped water solution. Results: Measured phantom relaxation values fall within 2 standard errors of human values from the literature and are reasonably stable over 9 months of testing. Comparison of the covariance matrices of phantom and patient data demonstrates that the phantom and patient data have similar image structure. Their covariance matrices are the same to within error bars in the anterior-posterior direction and to within about two error bars in the right-left direction. The signal from the phantom's adipose-mimicking material can be suppressed using active fat-suppression protocols. A static, enhancing lesion can also be included with the ability to change morphology and contrast agent concentration. Conclusions: The authors have constructed a phantom and demonstrated its ability to mimic human breast images in terms of key physical properties that are relevant to breast MRI. This phantom provides a platform for the optimization and standardization of breast MRI imaging protocols for lesion detection and characterization.

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Section: Discussionmentioning

confidence: 99%

An anthropomorphic phantom for quantitative evaluation of breast MRI

et al. 2011

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“…We focus on two tasks in this work: the detection of microcalcifications, small deposits of calcium which can indicate malignancy, and the detection of small low-contrast disks, intended to mimic subtle lesions. Previous work by others has investigated the use of the HO for optimization of DBT acquisition parameters, [6][7][8][9] benchmarking DBT acquisition relative to mammography, 8,10 and, similar to this work, exploring the impact of image reconstruction. 6,11 Often, the HO's performance for a given task is estimated using a collection of sample images, resulting in statistically variable estimates of the HO's figure of merit.…”

Section: Introductionmentioning

confidence: 93%

Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis

2015

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Abstract. We propose an implementation of the Hotelling observer that can be applied to the optimization of linear image reconstruction algorithms in digital breast tomosynthesis. The method is based on considering information within a specific region of interest, and it is applied to the optimization of algorithms for detectability of microcalcifications. Several linear algorithms are considered: simple back-projection, filtered back-projection, back-projection filtration, and Λ-tomography. The optimized algorithms are then evaluated through the reconstruction of phantom data. The method appears robust across algorithms and parameters and leads to the generation of algorithm implementations which subjectively appear optimized for the task of interest.

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“…Investigate trade-offs [10] between image quality and radiation dose for breast tomosynthesis using a task based assessment approach, 2. Investigate the impact of background variability on de tection and observer performance [9], 3. Investigate adaptive breast imaging methods, 4.…”

Section: X-ray Tube and Generatormentioning

confidence: 99%

A versatile laboratory platform for studying x-ray 3D breast imaging

Gala¹,

Peng

Zeng

et al. 2011

2011 IEEE Nuclear Science Symposium Conference Record

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Purpose: This paper presents the features of a new laboratory x-ray platform for 3D breast imaging at FDA and initial projection images and tomosynthesis reconstructions.Materials and methods: The laboratory consists of an x ray generator, x-ray tube and detector, as well as seven step per motors controlling four linear and three rotary stages.All components are currently being integrated using Lab View to allow for an automated operation of the lab. We used 3 different phantoms to obtain initial images. From all the possible geometry arrangements and techniques possible with the system, we selected a breast tomosynthesis acquisition protocol that is similar to those used by systems being investigated or developed by industry. The simultaneous algebraic reconstruction technique (SART) was used to obtain the reconstructions.Results and conclusion: The laboratory provides a flexible platform for performing studies in 3D breast x-ray imaging that can be used to study the effect of different system components on image quality and lead to a better understanding of the system performance.978-1-4673-0120-6/111$26.00 ©2011 IEEE

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A task-based evaluation method for x-ray breast imaging systems using variable-background phantoms

Cited by 8 publications

References 3 publications

An anthropomorphic phantom for quantitative evaluation of breast MRI

An anthropomorphic phantom for quantitative evaluation of breast MRI

Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis

A versatile laboratory platform for studying x-ray 3D breast imaging

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