Gotowe bibliografie tematyczne / Anthropomorphic breast phantoms

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Gotowa bibliografia na temat „Anthropomorphic breast phantoms”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Anthropomorphic breast phantoms"

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Seifert, Posy J., Renee C. Morgan, David L. Conover, and Andrea L. Arieno. "Initial Experience with a Cone-beam Breast Computed Tomography-guided Biopsy System." Journal of Clinical Imaging Science 7 (January 27, 2017): 1. http://dx.doi.org/10.4103/2156-7514.199055.

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Objective: To evaluate our initial experience with a cone-beam breast computed tomography (BCT)-guided breast biopsy system for lesion retrieval in phantom studies for use with a cone-beam BCT imaging system. Materials and Methods: Under the Institutional Review Board approval, a phantom biopsy study was performed using a dedicated BCT-guided biopsy system. Fifteen biopsies were performed on each of the small, medium, and large anthropomorphic breast phantoms with both BCT and stereotactic guidance for comparison. Each set of the 45 phantoms contained masses and calcification clusters of varyi
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Joachimowicz, Nadine, Bernard Duchêne, Christophe Conessa, and Olivier Meyer. "Anthropomorphic Breast and Head Phantoms for Microwave Imaging." Diagnostics 8, no. 4 (2018): 85. http://dx.doi.org/10.3390/diagnostics8040085.

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This paper deals with breast and head phantoms fabricated from 3D-printed structures and liquid mixtures whose complex permittivities are close to that of the biological tissues within a large frequency band. The goal is to enable an easy and safe manufacturing of stable-in-time detailed anthropomorphic phantoms dedicated to the test of microwave imaging systems to assess the performances of the latter in realistic configurations before a possible clinical application to breast cancer imaging or brain stroke monitoring. The structure of the breast phantom has already been used by several labor
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Bliznakova, Kristina, Tihomir Georgiev, Antonio Sarno, et al. "A comparison of two low-cost 3D printing techniques for constructing phantoms from MRI breast images." International Journal of Radiation Research 22, no. 4 (2024): 883–90. https://doi.org/10.61186/ijrr.22.4.883.

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<strong>Abstract</strong> Background: This study aimed to test the possibility of using Magnetic Resonance (MR) images to create anthropomorphic breast phantoms for X-ray imaging and to compare the performance of fused deposition modeling (FDM) and 2D inkjet printing with radiopaque inks. Materials and Methods: Two physical phantoms were produced using either an inkjet printer on paper or an FDM technique, both based on clinical MR data. The paper phantom was printed with 1.2 g of KI dissolved in 20 ml of water. For the FDM phantom, the extrusion rate was adjusted according to clinical Hounsfi
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Madsen, Ernest L., Maritza A. Hobson, Gary R. Frank, et al. "Anthropomorphic breast phantoms for testing elastography systems." Ultrasound in Medicine & Biology 32, no. 6 (2006): 857–74. http://dx.doi.org/10.1016/j.ultrasmedbio.2006.02.1428.

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Dukov, Nikolay, Kristina Bliznakova, Nikiforos Okkalidis, Tsvetelina Teneva, Elitsa Encheva, and Zhivko Bliznakov. "Thermoplastic 3D printing technology using a single filament for producing realistic patient-derived breast models." Physics in Medicine & Biology 67, no. 4 (2022): 045008. http://dx.doi.org/10.1088/1361-6560/ac4c30.

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Abstract Objective. This work describes an approach for producing physical anthropomorphic breast phantoms from clinical patient data using three-dimensional (3D) fused-deposition modelling (FDM) printing. Approach. The source of the anthropomorphic model was a clinical Magnetic Resonance Imaging (MRI) patient image set, which was segmented slice by slice into adipose and glandular tissues, skin and tumour formations; thus obtaining a four component computational breast model. The segmented tissues were mapped to specific Hounsfield Units (HU) values, which were derived from clinical breast Co
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Ruvio, Giuseppe, Raffaele Solimene, Antonio Cuccaro, et al. "Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging." Sensors 20, no. 8 (2020): 2400. http://dx.doi.org/10.3390/s20082400.

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The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance of a recently-introduced Microwave Imaging (MWI) technique in comparison to the established diagnostic imaging modalities of Magnetic Resonance Imaging (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI is an emerging technique with significant potential to supplement established imaging techniques to improve diagnostic confidence for breast cancer detection. To date, numerical simulations have been used to assess the different MWI scanning and image
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Dukov, Nikolay, Kristina Bliznakova, Nikiforos Okkalidis, Tsvetelina Teneva, Elitsa Encheva, and Zhivko Bliznakov. "Thermoplastic 3D printing technology using a single filament for producing realistic patient-derived breast models." Physics in Medicine & Biology 67, no. 4 (2022): 045008. https://doi.org/10.1088/1361-6560/ac4c30.

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ABSTRACT <em>Objective</em>. This work describes an approach for producing physical anthropomorphic breast phantoms from clinical patient data using three-dimensional (3D) fused-deposition modelling (FDM) printing. <em>Approach</em>. The source of the anthropomorphic model was a clinical Magnetic Resonance Imaging (MRI) patient image set, which was segmented slice by slice into adipose and glandular tissues, skin and tumour formations; thus obtaining a four component computational breast model. The segmented tissues were mapped to specific Hounsfield Units (HU) values, which were derived from
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Bencomo, José A., Connel Chu, Victor M. Tello, Sang Hyun Cho, and Geoffrey S. Ibbott. "Anthropomorphic breast phantoms for quality assurance and dose verification." Journal of Applied Clinical Medical Physics 5, no. 1 (2004): 36–49. http://dx.doi.org/10.1120/jacmp.26.148.

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Bencomo, José A., Connel Chu, Victor M. Tello, Sang Hyun Cho, and Geoffrey S. Ibbott. "Anthropomorphic breast phantoms for quality assurance and dose verification." Journal of Applied Clinical Medical Physics 5, no. 1 (2004): 36–49. http://dx.doi.org/10.1120/jacmp.v5i1.1992.

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Pokrajac, David D., Andrew D. A. Maidment, and Predrag R. Bakic. "Optimized generation of high resolution breast anthropomorphic software phantoms." Medical Physics 39, no. 4 (2012): 2290–302. http://dx.doi.org/10.1118/1.3697523.

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Rozprawy doktorskie na temat "Anthropomorphic breast phantoms"

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Lin, Fang-Yi, and 林芳薏. "Monte Carlo simulation of normalized glandular dose for anthropomorphic software breast phantoms in pendant-geometry breast computed tomography." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/93aqvu.

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碩士<br>國立陽明大學<br>生物醫學影像暨放射科學系<br>107<br>Three-dimensional breast imaging techniques improve the problem of overlapping tissue in two-dimensional images. However, the risk of cancer caused by breast computed tomography (bCT) examination cannot be ignored. Therefore, the glandular dose assessment is an important issue. This study built a series of anthropomorphic software breast phantoms (ASBPs) and estimated the corresponding normalized glandular dose (DgN) for bCT with Monte Carlo simulation. There were ASBPs of three different breast sizes (500, 750, and 1000 ml) and five volumetric glandular
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Części książek na temat "Anthropomorphic breast phantoms"

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Bakic, Predrag R., David D. Pokrajac, Raffaele De Caro, and Andrew D. A. Maidment. "Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic Phantoms." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_49.

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Reiser, Ingrid, Beverly A. Lau, Robert M. Nishikawa, and Predrag R. Bakic. "A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom." In Breast Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_19.

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Daskalov, Sivo, Nikiforos Okkalidis, John M. Boone, et al. "Anthropomorphic Physical Breast Phantom Based on Patient Breast CT Data: Preliminary Results." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31635-8_44.

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Kiarashi, Nooshin, Sujata V. Ghate, Joseph Y. Lo, Loren W. Nolte, and Ehsan Samei. "Application of a Dynamic 4D Anthropomorphic Breast Phantom in Contrast-Based Imaging System Optimization: Dual-Energy or Temporal Subtraction?" In Breast Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_85.

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Cockmartin, Lesley, Predrag R. Bakic, Hilde Bosmans, et al. "Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_59.

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Bakic, Predrag R., Beverly Lau, Ann-Katherine Carton, Ingrid Reiser, Andrew D. A. Maidment, and Robert M. Nishikawa. "An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections." In Digital Mammography. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13666-5_61.

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Obenauer, Silvia, Klaus-Peter Hermann, and Eckhardt Grabbe. "Dose Reduction in Full-Field Digital Mammography — An Anthropomorphic Breast Phantom Study." In Digital Mammography. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59327-7_34.

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Huseljić, Elma, Senad Odžak, Adnan Beganović, Almasa Odžak, Adi Pandžić, and Merim Jusufbegović. "Design, Manufacturing and Quality Assessment of 3D-Printed Anthropomorphic Breast Phantom for Mammography." In IFMBE Proceedings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49062-0_24.

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Alghamdi, Ali A. A., Andy K. W. Ma, M. H. A. Mhareb, et al. "Feasibility Study of Neutron Mammography Using MCNPX with a Breast Voxel Anthropomorphic Phantom." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85902-1_24.

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"Anthropomorphic breast phantom production with 3D printer technique to find more accurate factors for average glandular dose calculation." In Book of Abstracts - RAD 2025 Conference. RAD Centre, Niš, Serbia, 2025. https://doi.org/10.21175/rad.abstr.book.2025.19.3.

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According to World Cancer Research Fund International, breast cancer is the 2nd common cancer type worldwide and 1st type among women. To diagnose breast cancer, mammography (MG) and digital breast tomosynthesis (DBT) are commonly preferred imaging methods. Radiotherapy is one of the treatment methods of breast cancer and in case of radiotherapy is preferred, breast computed tomography (B-CT) is taken for breast contouring which is essential for radiotherapy. Mammography (MG), digital breast tomosynthesis (DBT) and breast computed tomography (B-CT) are medical imaging techniques using ionizing
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Streszczenia konferencji na temat "Anthropomorphic breast phantoms"

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Carbone, M., S. Condino, L. Mattei, P. Forte, V. Ferrari, and F. Mosca. "Anthropomorphic ultrasound elastography phantoms — Characterization of silicone materials to build breast elastography phantoms." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6345975.

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Bliznakova, Kristina, Nikiforos Okkalidis, Antonio Sarno, et al. "Physical Anthropomorphic Breast Phantoms for X-ray Imaging Techniques: Manufacturing Approach." In 2020 International Conference on e-Health and Bioengineering (EHB). IEEE, 2020. http://dx.doi.org/10.1109/ehb50910.2020.9280109.

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Jun Dang, P. Lasaygues, Dachun Zhang, et al. "Development of breast anthropomorphic phantoms for combined PET-ultrasound elastography imaging." In 2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nssmic.2009.5401670.

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Belarra, Adrián, Margarita Chevalier, Julia Garayoa, Irene Hernández-Girón, and Julio Valverde. "Measuring effective attenuation coefficients of 3D printing materials for anthropomorphic breast phantoms." In 17th International Workshop on Breast Imaging (IWBI 2024), edited by Hui Li, Maryellen L. Giger, Karen Drukker, and Heather M. Whitney. SPIE, 2024. http://dx.doi.org/10.1117/12.3027031.

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Ikejimba, Lynda C., Jesse Salad, Andrei Makeev, Christian Graff, Bahaa Ghammraoui, and Stephen J. Glick. "Anthropomorphic breast phantoms for evaluation of FFDM/DBT and breast CT using inkjet printing." In Physics of Medical Imaging, edited by Guang-Hong Chen, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2018. http://dx.doi.org/10.1117/12.2294534.

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Imran, Abdullah-Al-Zubaer, Predrag R. Bakic, Andrew D. A. Maidment, and David D. Pokrajac. "Optimization of the simulation parameters for improving realism in anthropomorphic breast phantoms." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2253903.

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Tornai, Martin P., Randolph L. McKinley, Caryl N. Bryzmialkiewicz, Spencer J. Cutler, and Dominic J. Crotty. "Anthropomorphic breast phantoms for preclinical imaging evaluation with transmission or emission imaging." In Medical Imaging, edited by Amir A. Amini and Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.596094.

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Acciavatti, Raymond J., Eric A. Cohen, Omid Haji Maghsoudi, et al. "Calculation of radiomic features to validate the textural realism of physical anthropomorphic phantoms for digital mammography." In Fifteenth International Workshop on Breast Imaging, edited by Chantal Van Ongeval, Nicholas Marshall, and Hilde Bosmans. SPIE, 2020. http://dx.doi.org/10.1117/12.2564363.

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Sauer, Thomas J., Christian G. Graff, Rongping Zeng, et al. "Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2255896.

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Mikerov, Mikhail, Koen Michielsen, Nikita Moriakov, and Ioannis Sechopoulos. "Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT." In Image Processing, edited by Ivana Išgum and Olivier Colliot. SPIE, 2022. http://dx.doi.org/10.1117/12.2611487.

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