Готові списки джерел за темами / Breast software phantom

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Добірка наукової літератури з теми "Breast software phantom"

Автор: Grafiati
Опубліковано: 3 червня 2025
Оновлено: 31 липня 2025

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Статті в журналах з теми "Breast software phantom"

1

Lau, Beverly A., Ingrid Reiser, Robert M. Nishikawa, and Predrag R. Bakic. "A statistically defined anthropomorphic software breast phantom." Medical Physics 39, no. 6Part1 (2012): 3375–85. http://dx.doi.org/10.1118/1.4718576.

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2

Bliznakova, K., Z. Bliznakov, V. Bravou, Z. Kolitsi, and N. Pallikarakis. "A three-dimensional breast software phantom for mammography simulation." Physics in Medicine and Biology 48, no. 22 (2003): 3699–719. http://dx.doi.org/10.1088/0031-9155/48/22/006.

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3

Polat, Adem, and Raziye Kubra Kumrular. "A Realistic Breast Phantom Proposal for 3D Image Reconstruction in Digital Breast Tomosynthesis." Technology in Cancer Research & Treatment 21 (January 2022): 153303382211045. http://dx.doi.org/10.1177/15330338221104567.

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Анотація:
Objectives: Iterative (eg, simultaneous algebraic reconstruction technique [SART]) and analytical (eg, filtered back projection [FBP]) image reconstruction techniques have been suggested to provide adequate three-dimensional (3D) images of the breast for capturing microcalcifications in digital breast tomosynthesis (DBT). To decide on the reconstruction method in clinical DBT, it must first be tested in a simulation resembling the real clinical environment. The purpose of this study is to introduce a 3D realistic breast phantom for determining the reconstruction method in clinical applications
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4

Arilli, Chiara, Yannik Wandael, Chiara Galeotti, et al. "Combined Use of a Transmission Detector and an EPID-Based In Vivo Dose Monitoring System in External Beam Whole Breast Irradiation: A Study with an Anthropomorphic Female Phantom." Applied Sciences 10, no. 21 (2020): 7611. http://dx.doi.org/10.3390/app10217611.

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We evaluate the combined usage of two systems, the Integral Quality Monitor (IQM) transmission detector and SoftDiso software, for in vivo dose monitoring by simultaneous detection of delivery and patient setup errors in whole breast irradiation. An Alderson RANDO phantom was adapted with silicon breast prostheses to mimic the female anatomy. Plans with simulated delivery errors were created from a reference left breast plan, and patient setup errors were simulated by moving the phantom. Deviations from reference values recorded by both monitoring systems were measured for all plans and phanto
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5

Bhatti, Syeda Naema, and Mallika Sridhar-Keralapura. "A novel breast software phantom for biomechanical modeling of elastography." Medical Physics 39, no. 4 (2012): 1748–68. http://dx.doi.org/10.1118/1.3690467.

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6

Ariyasinghe, Y. P. Y. P., A. J. Hilmi, C. Jayalath, V. Sivakumar, and V. P. S. Perera. "Verification of tangential breast treatment dose during 2D treatment planning." Sri Lankan Journal of Physics 25, no. 2 (2024): 78–85. https://doi.org/10.4038/sljp.v25i2.8135.

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Анотація:
This study presents a water phantom study of verification of tangential breast treatment dose calculations in a two-dimensional treatment planning system (TPS) at the Department of Radiotherapy, in a National hospital in Sri Lanka. Measurements were made using a 0.6 cc Farmer-type cylindrical ionization chamber with an electrometer in a breast phantom made of water field Perspex structure. The measured doses in the breast were compared with calculations made on a two-dimensional radiotherapy treatment planning software THERAPLAN®PLUS version 3.55 using the digitized breast phantom contour. Ove
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7

Journal, of the Sri Lanka Association for the Advancement of Science. "Verification of tangential breast treatment dose during 2D treatment planning." Journal of the Sri Lanka Association for the Advancement of Science 5, no. 2 (2023): 28–36. https://doi.org/10.5281/zenodo.10440695.

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Анотація:
This study presents a water phantom study of verification of tangential breast treatment dose calculations in a two-dimensional treatment planning system (TPS) at the Department of Radiotherapy, in a National hospital in Sri Lanka. Measurements were made using a 0.6 cc Farmer-type cylindrical ionization chamber with an electrometer in a breast phantom made of water field Perspex structure. The measured doses in the breast were compared with calculations made on a two-dimensional radiotherapy treatment planning software THERAPLAN®PLUS version 3.55 using the digitized breast phantom contour.
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8

Elouerghi, Achraf, Zakaryae Khomsi, Larbi Bellarbi, and Atman Jbari. "A novel miniaturized radiometer front-end for early breast cancer detection using ultra-wideband flexible antenna." Bulletin of Electrical Engineering and Informatics 13, no. 1 (2024): 277–91. http://dx.doi.org/10.11591/eei.v13i1.5702.

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Анотація:
This article introduces a new design of the front-end part of a passive and miniature radiometer, which has been developed to detect breast cancer at an early stage, by measuring temperature in deep mammary tissues. The design and simulation of each element of the microwave radiometer are carried out using computer simulation technology microwave (CST MWS) software. The proposed measurement system consists of a miniaturized ultra-wideband (UWB) flexible antenna operating in the S-band (2-4 GHz), a breast phantom, a low noise amplifier (LNA), a bandpass filter, and a radio frequency (RF) power
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9

van Eeden, Déte, and F. C. P. du Plessis. "Power-law Beta Calculations for Realistic Mammography Images from Egs_cbct Simulation." Journal of Medical Physics 50, no. 2 (2025): 370–77. https://doi.org/10.4103/jmp.jmp_211_24.

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Анотація:
Background: Mammography is the most effective method for the early detection of breast cancer. The glandular tissue in a mammogram acts as anatomic noise and limit the detection of suspicious lesions. Previous studies found that that the power-law form can be used to characterize anatomic noise in mammograms with β-exponent values ranging from 1.5 to 4.0. Purpose: The goal is to determine if the egs_cbct simulation code can successfully simulate the mammography images by extracting the β-values from them. This is done using the power spectrum to quantitatively evaluate and compare the β expone
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10

Wysocka-Rabin, Anna, Magdalena Dobrzyńska, Katarzyna Pasicz, Witold Skrzyński, and Ewa Fabiszewska. "Comparing eDQE and eNEQ metrics – is there an alternative approach to assessing image quality in digital mammography?" Polish Journal of Medical Physics and Engineering 29, no. 3 (2023): 165–77. http://dx.doi.org/10.2478/pjmpe-2023-0018.

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Анотація:
Abstract Introduction: Early detection of breast cancer requires high-quality mammographic images that have been made possible by the introduction of new technologies, such as full-field digital mammography (FFDM). In this new study, we perform extended measurements to calculate effective detective quantum efficiency (eDQE) and introduce effective noise equivalent quanta (eNEQ). Our aim was to show how these two metrics relate to the image quality of two digital mammography systems. Material and methods: Measurements were performed for a Siemens Mammomat Inspiration and a GE Senographe Pristin
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Більше джерел

Дисертації з теми "Breast software phantom"

1

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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Частини книг з теми "Breast software phantom"

1

Chen, Feiyu, David D. Pokrajac, Xiquan Shi, Fengshan Liu, Andrew D. A. Maidment, and Predrag R. Bakic. "Simulation of Three Material Partial Volume Averaging in a Software Breast Phantom." In Breast Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_20.

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2

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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3

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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Тези доповідей конференцій з теми "Breast software phantom"

1

Bakic, Predrag R., Susan Ng, Peter Ringer, Ann-Katherine Carton, Emily F. Conant, and Andrew D. A. Maidment. "Validation and optimization of digital breast tomosynthesis reconstruction using an anthropomorphic software breast phantom." In SPIE Medical Imaging. SPIE, 2010. http://dx.doi.org/10.1117/12.845299.

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2

Wang, Yu, Emily Helminen, and Jingfeng Jiang. "Building a virtual breast elastography phantom lab using open source software." In 2014 IEEE International Ultrasonics Symposium (IUS). IEEE, 2014. http://dx.doi.org/10.1109/ultsym.2014.0457.

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3

Shankla, Varsha, David D. Pokrajac, Susan P. Weinstein, et al. "Automatic insertion of simulated microcalcification clusters in a software breast phantom." In SPIE Medical Imaging, edited by Bruce R. Whiting and Christoph Hoeschen. SPIE, 2014. http://dx.doi.org/10.1117/12.2044337.

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4

Ruiter, Nicole V., Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, and Andrew D. A. Maidment. "Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom." In Medical Imaging, edited by Michael I. Miga and Kevin R. Cleary. SPIE, 2008. http://dx.doi.org/10.1117/12.770372.

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5

Zhang, Cuiping, Predrag R. Bakic, and Andrew D. A. Maidment. "Development of an anthropomorphic breast software phantom based on region growing algorithm." In Medical Imaging, edited by Michael I. Miga and Kevin R. Cleary. SPIE, 2008. http://dx.doi.org/10.1117/12.773011.

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6

Sousa, Maria A. Z., Predrag R. Bakic, Homero Schiabel, and Andrew D. A. Maidment. "A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom." In SPIE Medical Imaging, edited by Matthew A. Kupinski and Robert M. Nishikawa. SPIE, 2017. http://dx.doi.org/10.1117/12.2255554.

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7

Connolly, Laura, Anton Deguet, Tamas Ungi, et al. "An application of SlicerROS2: Haptic latency evaluation for virtual fixture guidance in breast conserving surgery." In THE HAMLYN SYMPOSIUM ON MEDICAL ROBOTICS. The Hamlyn Centre, Imperial College London London, UK, 2023. http://dx.doi.org/10.31256/hsmr2023.64.

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Анотація:
Breast conserving surgery (BCS) is a surgical intervention for breast cancer where the surgeon resects the primary tumor and preserves the surrounding healthy tissue. These procedures have a high failure rate because it is often difficult to localize breast tumor boundaries intraoperatively. Emerging surgical robotic technology demonstrates promise for addressing such challenges. Hand-over-hand control is a design concept that involves cooperative handling of a surgical instrument by the surgeon and a robot. These systems can be used to reduce hand-tremor, improve dexterity, and implement virt
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8

Chen, Feiyu, David Pokrajac, Xiquan Shi, Fengshan Liu, Andrew D. A. Maidment, and Predrag R. Bakic. "Partial volume simulation in software breast phantoms." In SPIE Medical Imaging, edited by Norbert J. Pelc, Robert M. Nishikawa, and Bruce R. Whiting. SPIE, 2012. http://dx.doi.org/10.1117/12.912242.

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9

Bakic, Predrag R., Bruno Barufaldi, David Pokrajac, Miguel A. Lago, and Andrew D. Maidment. "Developing populations of software breast phantoms for virtual clinical trials." In Fourteenth International Workshop on Breast Imaging, edited by Elizabeth A. Krupinski. SPIE, 2018. http://dx.doi.org/10.1117/12.2318473.

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10

Solís Preciado, Noelia, Christian Fedon, Melissa L. Hill, and Ioannis Sechopoulos. "Validation of a breast density quantization software with 3D printed breast phantoms." In Physics of Medical Imaging, edited by Wei Zhao and Lifeng Yu. SPIE, 2022. http://dx.doi.org/10.1117/12.2611534.

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Звіти організацій з теми "Breast software phantom"

1

MR (Diffusion-Weighted Imaging (DWI) of the Apparent Diffusion Coefficient (ADC), Clinically Feasible Profile. Chair Michael Boss, Dariya Malyarenko, and Daniel Margolis. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20221215.

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Анотація:
The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance and is derived from the body of scientific literature meeting specific requirements, in particular test-retest studies. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Diffusion-Weighted
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