BR3D Breast Imaging Phantom

Model 020
FOR TOMOSYNTHESIS AND BREAST CT

The CIRS Model 020 BR3D Breast Imaging Phantom assesses detectability of lesions of various sizes within a tissue equivalent, heterogeneous background.

In traditional 2D mammography, cancerous masses may be camouflaged by superposition of dense breast tissue. Tomosynthesis can help to eliminate this overlap by capturing multiple image “slices” of the breast that can be combined to create 3D reconstruction. As this new technology gains momentum in breast imaging, CIRS identified a need for a more realistic phantom to allow complex system checks.

Model 020 contains six heterogeneous, breast-equivalent slabs, which accurately demonstrate how underlying targets can be obscured by varying glandularity. Each slab consists of two tissue-equivalent materials mimicking 100% adipose and 100% gland tissues “swirled” together in an approximate 50/50 ratio by weight. Because each slab has a unique swirl pattern, the phantom can be arranged to create multiple backgrounds. One slab contains an assortment of microcalcifications, fibrils and masses and can be positioned at varying depths. Each semicircular-shaped slabs measure 100 x 180 x 10 mm.

Slabs with different gland-to-adipose ratios by weight are available by request.

Benefits:
  • Tests Tomosynthesis and Breast Computed Tomography
  • Complex background provides greater challenge for target detection
  • Slab configurations provide range of thicknesses with or without targets
  • Tissue equivalent adipose and gland tissues “swirled” in approximate 50/50 ratio by weight

Data Sheet

BR3D Breast Imaging Phantom: Data Sheet

Gomi, Tsutomu; Kijima, Yukie; Kobayashi, Takayuki; Koibuchi, Yukio; 'Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis'. Diagnostics. 2022; 12 (2): 495. MDPI. View
Piccolomini, Elena Loli; Morotti, Elena; 'A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction'. Journal of Imaging. 2021; 7 (2): 36. Multidisciplinary Digital Publishing Institute. View

Summary: A new image reconstruction algorithm for digital breast tomosynthesis, implemented using a Total Variation regularizar, was validated using the Model 20 BR3D phantom. The results confirm the ability of this algorithm to accurately image breast microcalcifications and masses.
Davidson, Rob; Al Khalifah, Khaled; Zhou, Abel; 'Variation in digital breast tomosynthesis image quality at differing heights above the detector'. Journal of Medical Radiation Sciences. 2021; View
Cavicchioli, R; Hu, J Cheng; Piccolomini, E Loli; Morotti, E; Zanni, L; 'GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis'. Scientific reports. 2020; 10 (1): 10-Jan. Nature Publishing Group. View

Summary: Parallel processing, implemented on three different GPU boards, provided the ability to quickly implement Model-Based Iterative Reconstruction of digital breast tomosynthesis imaging. The methods were tested using the Model 20 BR3D phantom.
Chan, Heang-Ping; Helvie, Mark A; Klein, Katherine A; McLaughlin, Carol; Neal, Colleen H; Oudsema, Rebecca; Rahman, W Tania; Roubidoux, Marilyn A; Hadjiiski, Lubomir M; Zhou, Chuan; 'Effect of Dose Level on Radiologists’ Detection of Microcalcifications in Digital Breast Tomosynthesis: An Observer Study with Breast Phantoms'. Academic Radiology. 2020; Elsevier. View
Ravaglia, V; Angelini, L; Bertolini, M; Della Gala, G; Fabbri, C; Fabbri, S; Farnedi, S; Vacchieri, I; Golinelli, P; Guerra, G; 'The small-size details detection performance of digital breast tomosynthesis, synthetic 2D, and conventional full-field digital mammography images for different mammography systems: a multicenter study'. 15th International Workshop on Breast Imaging (IWBI2020). 2020; 11513: 115131H. International Society for Optics and Photonics. View
Shinohara, Norimitsu; Akiyama, Shinobu; Ito, Takahiro; Okada, Satoko; Chiba, Yoko; Negishi, Tohru; Hirofuji, Yoshiaki; 'Examination of quality control guidelines for digital breast tomosynthesis systems in Japan'. 15th International Workshop on Breast Imaging (IWBI2020). 2020; 11513: 115132F. International Society for Optics and Photonics. View
Marinov, S, et al. 'Evaluation of the visual realism of breast texture phantoms in digital mammography'. Proceedings of the SPIE. 2020; 11513: International Society for Optics and Photonics. View
Lee, Youngjin; Lee, Seungwan; 'Geometric dependence of image quality in digital tomosynthesis: Simulations of X-ray source trajectories and scan angles'. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2020; View
Huang, Hailiang; Duan, Xiaoyu; Sahu, Pranjal; Zhao, Wei; 'Effect of scatter correction on image noise in contrast-enhanced digital breast tomosynthesis'. 15th International Workshop on Breast Imaging (IWBI2020). 2020; 11513: 115130J. International Society for Optics and Photonics. View
Vancoillie, L; Cockmartin, L; Marshall, NW; Lo, JY; Bosmans, H; 'Evaluation of possible phantoms for assessment of image quality in synthetic mammograms'. Medical Imaging 2020: Physics of Medical Imaging. 2020; 11312: 113120J. International Society for Optics and Photonics. View
Ravaglia, V; Angelini, L; Bertolini, M; Della Gala, G; Fabbri, C; Fabbri, S; Farnedi, S; Vacchieri, I; Golinelli, P; Guerra, G; 'The small-size details detection performance of digital breast tomosynthesis, synthetic 2D, and conventional full-field digital mammography images for different mammography systems: a multicenter study'. 15th International Workshop on Breast Imaging (IWBI2020). 2020; 11513: 115131H. International Society for Optics and Photonics. View
Hellgren, Gustav; Pham, Thahn Tra; Tingberg, Anders; Dustler, Magnus; 'Evaluation of digital breast tomosynthesis systems'. Medical Imaging 2020: Physics of Medical Imaging. 2020; 11312: 1131258. International Society for Optics and Photonics. View
Feng SSJ, Sechopoulos I. A Software-Based X-Ray Scatter Correction Method for Breast Tomosynthesis. Medical Physics. 2011; 38(12):6643-6653. 
Taibi, A., et al., Lesion detectability in digital mammography and digital breast tomosynthesis: A Phantom Study. 2010; ECR Presentation B-823. 
Y.-H. Hu, D. A. Scaduto, W. Zhao, "Optimization of clinical protocols for contrast enhanced breast imaging," in SPIE Medical Imaging (International Society for Optics and Photonics, 2013), p. 86680G–86680G.  View
Gomi, T. (2015) Comparison of Different Reconstruction Algorithms for Decreasing the Exposure Dose during Digital Breast Tomosynthesis: A Phantom Study. J. Biomedical Science and Engineering, 8, 471-478.  View
Han S. A Quantification Method for Breast Tissue Thickness and Iodine Concentration Using Photon-Counting Detector. J Digit Imaging. 2015;28(5):594-603.  View
Adam Wang ; Edward Shapiro ; Sungwon Yoon ; Arundhuti Ganguly ; Cesar Proano, et al. " Asymmetric scatter kernels for software-based scatter correction of gridless mammography ", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121I (March 18, 2015); doi:10.1117/12.2081501;  View
David A. Scaduto ; Min Yang ; Jennifer Ripton-Snyder ; Paul R. Fisher and Wei Zhao " Digital breast tomosynthesis with minimal breast compression ", Proc. SPIE9412, Medical Imaging 2015: Physics of Medical Imaging, 94121Y (March 18, 2015); doi:10.1117/12.2081543;  View
Malliori A, Bliznakova K, Bliznakov Z, Cockmartin L, Bosmans H, Pallikarakis N. Breast tomosynthesis using the multiple projection algorithm adapted for stationary detectors. J Xray Sci Technol. 2016;24(1):23-41.  View
Scaduto, D, et al. "Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design." Springer Link, 17 June 2016. Web.  View

References

Model: 020 Modality:
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