Relevant bibliographies by topics / Breast tissue imaging

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Breast tissue imaging'

Author: Grafiati
Published: 29 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Breast tissue imaging"

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Issar, Pratibha, Sabita Desai, Ravindranath M., and Priya Sahu. "Illuminating the obscure: An imaging study of male breast diseases." Indian Journal of Breast Imaging 2 (September 30, 2024): 44–52. http://dx.doi.org/10.25259/ijbi_5_2023.

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Male breasts mainly have fatty tissue with few ducts and stroma, in contrast to women’s breasts, which predominantly have ducts, stroma, and glandular tissue. This requires knowledge of normal male breast anatomy and physiological and pathological changes in the male breast. This article deals with normal anatomy and a spectrum of diseases involving the male breast.
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Klock, John C., Elaine Iuanow, Bilal Malik, Nancy A. Obuchowski, James Wiskin, and Mark Lenox. "Anatomy-Correlated Breast Imaging and Visual Grading Analysis Using Quantitative Transmission Ultrasound™." International Journal of Biomedical Imaging 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/7570406.

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Objectives. This study presents correlations between cross-sectional anatomy of human female breasts and Quantitative Transmission (QT) Ultrasound, does discriminate classifier analysis to validate the speed of sound correlations, and does a visual grading analysis comparing QT Ultrasound with mammography.Materials and Methods. Human cadaver breasts were imaged using QT Ultrasound, sectioned, and photographed. Biopsies confirmed microanatomy and areas were correlated with QT Ultrasound images. Measurements were taken in live subjects from QT Ultrasound images and values of speed of sound for e
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Takahashi, Haruko, Daisuke Kawahara, and Yutaka Kikuchi. "Understanding Breast Cancers through Spatial and High-Resolution Visualization Using Imaging Technologies." Cancers 14, no. 17 (2022): 4080. http://dx.doi.org/10.3390/cancers14174080.

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Breast cancer is the most common cancer affecting women worldwide. Although many analyses and treatments have traditionally targeted the breast cancer cells themselves, recent studies have focused on investigating entire cancer tissues, including breast cancer cells. To understand the structure of breast cancer tissues, including breast cancer cells, it is necessary to investigate the three-dimensional location of the cells and/or proteins comprising the tissues and to clarify the relationship between the three-dimensional structure and malignant transformation or metastasis of breast cancers.
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Ku, Geng, Bruno D. Fornage, Xing Jin, Minghua Xu, Kelly K. Hunt, and Lihong V. Wang. "Thermoacoustic and Photoacoustic Tomography of Thick Biological Tissues toward Breast Imaging." Technology in Cancer Research & Treatment 4, no. 5 (2005): 559–65. http://dx.doi.org/10.1177/153303460500400509.

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Microwave-based thermoacoustic tomography (TAT) and laser-based photoacoustic tomography (PAT) in a circular scanning configuration were both developed to image deeply seated lesions and objects in biological tissues. Because malignant breast tissue absorbs microwaves more strongly than benign breast tissue, cancers were imaged with good spatial resolution and contrast by TAT in human breast mastectomy specimens. Based on the intrinsic optical contrast between blood and chicken breast muscle, an embedded blood object that was 5 cm deep in the tissue was also detected using PAT at a wavelength
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Ayyıldız, Zeynep, İbrahim Akkaya, and Mehmet Engin. "Tissue Mimicking Phantom Design and Characterization for Thermal Imaging Applications on Medical Diagnosis." Celal Bayar Üniversitesi Fen Bilimleri Dergisi 19, no. 1 (2023): 31–37. https://doi.org/10.18466/cbayarfbe.1176244.

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Breast cancer is one of the mortal cancerous for women and an early diagnosis, applying an appropriate treatment and prognosis increases the survival chance of the patients. There are different screening methods and thermal imaging is one of the noninvasive promising diagnosis techniques to detect thermal profile anomalies in breasts. This work includes both simulation and experimental studies for the detection of breast tumors by using thermal images. The first step is the simulation studies based on heat transfer in biological tissues. By using the Bio-Heat transfer theory, temperature diffe
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Rhoden, S. A., and S. M. Totterman. "Breast tissue expander: MR imaging artifact." American Journal of Roentgenology 164, no. 3 (1995): 765. http://dx.doi.org/10.2214/ajr.164.3.7863914.

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Kline, Nicole J., and Patrick J. Treado. "Raman Chemical Imaging of Breast Tissue." Journal of Raman Spectroscopy 28, no. 2-3 (1997): 119–24. http://dx.doi.org/10.1002/(sici)1097-4555(199702)28:2/3<119::aid-jrs73>3.0.co;2-3.

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Hahn, Camerin, and Sima Noghanian. "Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models." International Journal of Biomedical Imaging 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/803607.

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As new algorithms for microwave imaging emerge, it is important to have standard accurate benchmarking tests. Currently, most researchers use homogeneous phantoms for testing new algorithms. These simple structures lack the heterogeneity of the dielectric properties of human tissue and are inadequate for testing these algorithms for medical imaging. To adequately test breast microwave imaging algorithms, the phantom has to resemble different breast tissues physically and in terms of dielectric properties. We propose a systematic approach in designing phantoms that not only have dielectric prop
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Fico, Noemi, Graziella Di Grezia, Vincenzo Cuccurullo, et al. "Breast Imaging Physics in Mammography (Part I)." Diagnostics 13, no. 20 (2023): 3227. http://dx.doi.org/10.3390/diagnostics13203227.

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Breast cancer is the most frequently diagnosed neoplasm in women in Italy. There are several risk factors, but thanks to screening and increased awareness, most breast cancers are diagnosed at an early stage when surgical treatment can most often be conservative and the adopted therapy is more effective. Regular screening is essential but advanced technology is needed to achieve quality diagnoses. Mammography is the gold standard for early detection of breast cancer. It is a specialized technique for detecting breast cancer and, thus, distinguishing normal tissue from cancerous breast tissue.
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Nikolic, Jelena, Marija Marinkovic, Dragana Lekovic-Stojanov, Isidora Djozic, Nada Vuckovic, and Zlata Janjic. "Bilateral axillary accessory breasts: A case report and literature review." Medical review 73, no. 5-6 (2020): 165–69. http://dx.doi.org/10.2298/mpns2006165n.

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Introduction. Accessory breast is a congenital anomaly where ectopic breast tissue is found at any place other than the normal location. It is an extra tissue or a fully developed breast with a nipple. The incidence of this malformation is 0.4-6%. It is believed that this congenital malformation is associated with incomplete regression of the primitive milk streak during embryonic development. The diagnosis and treatment of accessory breasts is very important, because an ectopic breast tissue can undergo various pathological changes, as well as the normal breast tissue. Case Report. The author
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Dissertations / Theses on the topic "Breast tissue imaging"

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Ozan, Cem. "Mechanical modeling of brain and breast tissue." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22632.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Germanovich, Leonid; Committee Co-Chair: Skrinjar, Oskar; Committee Member: Mayne, Paul; Committee Member: Puzrin, Alexander; Committee Member: Rix, Glenn.
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Hintz, Madeline L. "Optimising breast implant geometry using 3-dimensional imaging." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/115013/1/115013_7535198_madeline_hintz_thesis.pdf.

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Three-dimensional printing has broad potential for the medical landscape as demonstrated in the two projects that comprise this thesis. Project one encompasses three-dimensional scanning of healthy volunteers to create equations that enable prediction of breast dimensions and volume directly from torso landmarks and measurements. Future development may streamline the creation of custom computer modelled breast implant scaffolds for three-dimensional printing and improve aesthetic outcomes. Project two outlines the creation, bioprinting and assessment of a new biological ink with components gen
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Tadrous, Paul Joseph. "The imaging of benign and malignant breast tissue by flourescence lifetime imaging and optical coherence tomography." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407233.

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Kiss, Miklos Zoltan. "Application of diffraction enhanced imaging for obtaining improved contrast of calcifications in breast tissue." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-11062002-155217/.

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KISS, MIKLOS ZOLTAN. Application of diffraction enhanced imaging for obtaining improved contrast of calcifications in breast tissue. (Under the direction of Dale E. Sayers.) Diffraction enhanced imaging (DEI) has been used to study the improvements in image contrast of calcifications in breast tissue. This new imaging modality has the potential to greatly improve early detection of breast cancer, primarily due to its ability to utilize contrast mechanisms in the breast, which are not possible with existing radiographic methods. Of particular interest is the comparison of the image contrast of
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Skerl, Katrin. "Standardisation and quality assurance of 2D ultrasound Shear Wave Elastography imaging in breast tissue." Thesis, University of Dundee, 2016. https://discovery.dundee.ac.uk/en/studentTheses/5ee2b3ed-89aa-4874-830a-ec9be233aae4.

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Breast cancer is the most common cancer in women worldwide. In 2009, a novel imaging modality called Shear Wave Elastography (SWE), an ultrasound technique visualising the elasticity of tissue, was introduced to the field of clinical breast imaging. Because malignant tissues are generally stiffer than benign tissues, SWE supports the differentiation of benign / malignant solid breast lesions. However, no standard has yet been defined for the application and the evaluation of results. Furthermore, image evaluation has to be carried out directly from the ultrasound system, complicating long-term
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Kovalchuk, Nataliya. "Advances in Magnetic Resonance Electrical Impedance Mammography." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002443.

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Bojnell, Kim, and Mattias Feltendal. "Development of a flexible stand to position a microwave transmitter : A complimentary tool to test equipment for breast cancer research." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55146.

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Breast cancer is the most common form of cancer among women, this type of cancer is diagnosed in around 9000 women every year in Sweden. The most common studies to find breast cancer is through mammography where the breast tissue is compressed and exposed by radiation. Not only does the technique expose the breast tissue for radiation, but it can also be very uncomfortable. There is research on a new kind of scanning where use of microwaves reduces the uncomfortable situation. The MDH research team that are working with this technology needs help to position a transmitter of microwaves to test
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Teixeira, Ribeiro Rui Agostinho Fernandes. "Spectral analysis of breast ultrasound data with application to mass sizing and characterization." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:8768959f-cc5a-476d-b924-5a5d7df31b8d.

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Ultrasound is a commonly used imaging modality in diagnosis and pre-operative assessment of breast masses. However, radiologists often find it very difficult to correctly size masses using conventional ultrasound images. Consequently, there exists a strong need for more accurate sizing tools to avoid either the removal of an over-estimated amount of tissue or a second surgical procedure to remove margins involved by tumour not removed in the primary operation. In this thesis, we propose a new method of processing the backscattered ultrasound signals from breast tissue (based on the Fourier spe
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Smolina, Margarita. "Breast cancer cell lines grown in a three-dimensional culture model: a step towards tissue-like phenotypes as assessed by FTIR imaging." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/267686.

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Despite the possible common histopathological features at diagnosis, cancer cells present within breast carcinomas are highly heterogeneous in their molecular signatures. This heterogeneity is responsible for disparate clinical behaviors, treatment responses and long-term outcomes in breast cancer patients. Although the few histopathological markers can partially describe the diversity of cells found in tumor tissue sections, the full molecular characterization of individual cancer cells is currently impossible in routine clinical practice. In this respect, Fourier transform infrared (FTIR) mi
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Diemoz, Paul Claude. "Contributions expérimentales et théoriques aux techniques de contraste de phase pour l'imagerie médicale par rayons X." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00602998.

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Différentes techniques d'imagerie par contraste de phase des rayons X ont été récemment développées. Contrairement aux méthodes conventionnelles, qui mesurent les propriétés d'absorption des tissus, ces techniques donnent aussi le contraste du déphasage introduit par l'échantillon. Puisque le changement dans la phase peut être important même quand les différences en atténuation sont faibles ou absentes, le contraste d'image obtenable peut être considérablement augmenté, notamment pour les tissus mous biologiques. Ces méthodes sont donc très prometteuses pour une application dans le domaine méd
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Books on the topic "Breast tissue imaging"

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Cady, Blake, and Christopher R. McHenry. Contemporary imaging in surgical oncology. W.B. Saunders, 1998.

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Altoé, Mirella Lorrainy. Diffuse Optical Tomography Imaging of Chemotherapy-Induced Changes in Breast Tissue Metabolism. [publisher not identified], 2020.

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Yao, Xinwen. Ultrahigh resolution spectral domain optical coherence tomography and its functional extension for human myocardium and breast tissue imaging. [publisher not identified], 2018.

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Patlak, Margie. Mammography and beyond: Developing technologies for the early detection of breast cancer : a non-technical summary. Edited by National Cancer Policy Board (U.S.). Committee on the Early Detection of Breast Cancer and National Research Council (U.S.). Commission on Life Sciences. National Academy Press, 2001.

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Andersson, Ingvar, Robert D. Boutin, and Donald Resnick. The Encyclopaedia of Medical Imaging, Volume 3: Musculoskeletal & Soft Tissue Imaging: Part 1: Musculoskeletal Imaging, Part 2: Breast Imaging. ISIS Medical Media, 1999.

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DeBruhl, Nanette D., and Nazanin Yaghmai. Breast Implants. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0060.

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The presence of breast implants limits the amount of tissue that can be visualized on mammography and tomosynthesis. The proper mammographic positioning of the breasts of women with implants requires special training. More tissue can be visualized in women with sub-pectoral implants than in women with sub-glandular implants. Women with implants are recommended to have age-appropriate routine interval screening mammography for detection of cancer. If an implant rupture is suspected, ultrasound and MRI are used as adjunct imaging modalities. This chapter, appearing in the section on breast impla
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Joines, Melissa M. Post-Reconstruction Breast. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0063.

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Breast reconstruction may be performed after mastectomy to improve breast symmetry. Each reconstruction technique leads to a characteristic appearance on post-operative imaging; thus, familiarity with the surgical techniques as well as the imaging features of the reconstructed breast across multiple modalities is important for radiologists. In addition, an understanding of the common benign complications as well as features of tumor recurrence is important. This chapter, appearing in the section on interventions and surgical change, reviews the key imaging and clinical features, imaging protoc
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Foo, Eric, and Bonnie N. Joe. Mass in Male (Gynecomastia, Cancer). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0028.

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Gynecomastia is a benign condition manifesting as enlarged breasts in men and boys. This increased breast tissue is caused by excess fibroglandular deposits and is caused by hormonal imbalances, commonly due to estrogen excess or from various drugs, such as spironolactone, ketoconazole, cimetidine, ranitidine, and specific HIV therapies. Patients generally present with bilateral subareolar enlarged breasts (however, unilateral gynecomastia also occurs), which commonly exhibit tenderness on palpation, swelling, palpable lumps, or nipple discharge. This chapter reviews the important imaging prot
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Breast Cancer in Women: Education for Patients and the Public. Exon Publications, 2025. https://doi.org/10.36255/breast-cancer-in-women-patient-public-education.

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Breast cancer is a serious yet highly treatable condition that affects millions of women worldwide. This article offers a detailed guide to female breast cancer, covering everything from causes and diagnosis to available treatment options. It starts by explaining how breast cancer develops in the ducts, lobules, or tissue of the breast, and outlines the common types, such as invasive ductal carcinoma and triple-negative breast cancer. It also clarifies how breast cancer differs from benign lumps and discusses what it means when cancer spreads to other parts of the body. The article breaks down
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Kettler, Mark D. Circumscribed Mass: Fibroadenoma. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0015.

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A fibroadenoma is a benign fibroepithelial breast tumor arising from the terminal duct-lobular unit (TDLU), composed of epithelial and stromal elements. The overwhelming majority of fibroadenomas present as palpable or imaging-detected circumscribed masses showing sharp demarcation between the lesion and the adjacent breast tissue. Fibroadenomas are the most common benign breast tumor occurring in women, with a peak incidence in the third and fourth decades, but they can occur from childhood through the eight decade of life. This chapter, appearing in the section on asymmetry, mass, and distor
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Book chapters on the topic "Breast tissue imaging"

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Avanaki, Ali R. N., Kathryn S. Espig, Albert Xthona, and Tom R. L. Kimpe. "Estimation of Perceived Background Tissue Complexity in Mammograms." In Breast Imaging. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41546-8_40.

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Wu, Shandong, Susan Weinstein, Brad M. Keller, Emily F. Conant, and Despina Kontos. "Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI." In Breast Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_32.

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Petersen, Kersten, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, and Martin Lillholm. "Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_13.

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Holland, Katharina, Michiel Kallenberg, Ritse Mann, Carla van Gils, and Nico Karssemeijer. "Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_34.

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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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Mainprize, James G., Xinying Wang, Mei Ge, and Martin J. Yaffe. "Towards a Quantitative Measure of Radiographic Masking by Dense Tissue in Mammography." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_26.

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Mann, Steve D., Kristy L. Perez, Emily K. E. McCracken, et al. "Quantification of Tc-99m Sestamibi Distribution in Normal Breast Tissue Using Dedicated Breast SPECT-CT." In Breast Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_52.

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García, E., A. Oliver, Y. Diez, et al. "Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration." In Breast Imaging. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41546-8_62.

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Chen, Xin, Emmanouil Moschidis, Chris Taylor, and Susan Astley. "A Novel Framework for Fat, Glandular Tissue, Pectoral Muscle and Nipple Segmentation in Full Field Digital Mammograms." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_29.

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Conference papers on the topic "Breast tissue imaging"

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Sanderson, Rowan W., Ken Y. Foo, Renate Zilkens, et al. "Micromechanical imaging of breast cancer with optical coherence elastography." In Optical Elastography and Tissue Biomechanics XII, edited by Kirill V. Larin and Giuliano Scarcelli. SPIE, 2025. https://doi.org/10.1117/12.3045267.

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Douplik, Alexandre, Shahram Moradi, Alexander D’Ippolito, Kate Dingle, Marius Michel, and Alexandra Easson. "Characterizing Breast Tissue Samples with Integrated Imaging." In Latin America Optics and Photonics Conference. Optica Publishing Group, 2024. https://doi.org/10.1364/laop.2024.w4a.16.

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A method was developed to distinguish cancerous from non-cancerous breast tissue using white and UV light imaging, analyzing fluorescence intensity. Pathologist-marked images confirmed accuracy, optimizing tissue thickness for transmission mode analysis.
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Zhang, Junhao, Junior Arroyo, and Muyinatu A. Lediju Bell. "Multispectral Photoacoustic Imaging of Breast Cancer Tissue." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793859.

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Zheng, Emily, Huijuan Zhang, Ermelinda Bonaccio, Kazuaki Takabe, Wenyao Xu, and Jun Xia. "Co-Registered Photoacoustic and Ultrasound Imaging with Deep Learning for Breast Imaging and Tumor Localization." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jw5a.19.

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We developed a novel breast imaging configuration that integrates Photoacoustic (PA) and Ultrasound (US) modes. A deep learning model trained via the clinical imaging results allows tumor localization within the breast tissue in three dimensions.
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Verma, Amit, Cay Sherry, Margarida M. Barroso, et al. "Antibody-to-imaging pipeline to monitor target engagement in breast tumors (Conference Presentation)." In Visualizing and Quantifying Drug Distribution in Tissue IX, edited by Conor L. Evans and Kin Foong Chan. SPIE, 2025. https://doi.org/10.1117/12.3041505.

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Duric, Nebojsa, Peter J. Littrup, Earle Holsapple, et al. "Ultrasound tomography of breast tissue." In Medical Imaging 2003, edited by William F. Walker and Michael F. Insana. SPIE, 2003. http://dx.doi.org/10.1117/12.479909.

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Elangovan, Premkumar, David R. Dance, Kenneth C. Young, and Kevin Wells. "Generation of 3D synthetic breast tissue." In SPIE Medical Imaging, edited by Despina Kontos, Thomas G. Flohr, and Joseph Y. Lo. SPIE, 2016. http://dx.doi.org/10.1117/12.2216225.

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Jiang, Shudong, Xu Cao, Mingwei Zhou, Jinchao Feng, Brian W. Pogue, and Keith D. Paulsen. "MRI-guide near infrared spectroscopic tomographic imaging system with wearable optical breast interface for breast imaging." In Optical Tomography and Spectroscopy of Tissue XIV, edited by Sergio Fantini and Paola Taroni. SPIE, 2021. http://dx.doi.org/10.1117/12.2579087.

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Sak, Mark, Neb Duric, Norman Boyd, Peter Littrup, Erik West, and Cuiping Li. "Breast tissue composition and breast density measurements from ultrasound tomography." In SPIE Medical Imaging, edited by Johan G. Bosch and Marvin M. Doyley. SPIE, 2012. http://dx.doi.org/10.1117/12.912407.

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Hooft, G. W. ’t, M. B. van der Mark, J. H. Hoogenraad, S. B. Colak, J. C. J. Paasschens, and E. S. van der Linden. "In Vivo Optical Imaging of the Female Breast." In The European Conference on Lasers and Electro-Optics. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/cleo_europe.1998.cmd2.

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Due to its non-ionizing nature, optical mammography could be a very attractive alternative to X-ray screening. We have developed a CW optical tomography apparatus with which three-dimensional images of breasts can be obtained in vivo. It measures the attenuation coefficient κ=3μ a μ s ' of the breast tissue. The magnitude of the reduced scattering coefficient μ s ' in breast tissue is approximately 1 mm-1 and varies less than the absorption coefficient μ a .
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Reports on the topic "Breast tissue imaging"

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Dehghani, Hamid. Three Dimensional Reconstruction Algorithm for Imaging Pathophysiological Signal within Breast Tissue Using Near Infrared Light. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428927.

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Dehghani, Hamid. Three Dimensional Reconstruction Algorithm for Imaging Pathophysiological Signals Within Breast Tissue Using Near Infrared Light. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459783.

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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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Abstract:
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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DCE-MRI V.2, Consensus QIBA Profile. Chair Hendrik Laue and James O'Connor. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2023. https://doi.org/10.1148/qiba/20231206.

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The goal of the DCE-MRI quantification QIBA Profile version 2.0 is to provide an update from the Dynamic Contrast Enhanced MRI (DCE-MRI) Quantification profile (version 1.0, dated July 1, 2012) in order to include the use of 3 Tesla (T) MRI and the use of parallel imaging with receiver coil arrays. While many pharmacokinetic models have been described, this QIBA Profile (DCE-MRI Quantification) specifically addresses the physiological parameter Ktrans derived from the Tofts or generalized kinetic model (GKM) (1), which is correlated with the vessel (surface/area product and permeability) and h
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Trahey, Gregg E. A Novel Ultrasonic Imaging Method for Remote Palpation of Breast Tissues. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada400056.

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