Thematische Bibliographien / Breast tissue imaging

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Auswahl der wissenschaftlichen Literatur zum Thema „Breast tissue imaging“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 9. Februar 2022

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Zeitschriftenartikel zum Thema "Breast tissue imaging"

Rhoden, S. A., und S. M. Totterman. „Breast tissue expander: MR imaging artifact.“ American Journal of Roentgenology 164, Nr. 3 (März 1995): 765. http://dx.doi.org/10.2214/ajr.164.3.7863914.

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Kline, Nicole J., und Patrick J. Treado. „Raman Chemical Imaging of Breast Tissue“. Journal of Raman Spectroscopy 28, Nr. 2-3 (Februar 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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Klock, John C., Elaine Iuanow, Bilal Malik, Nancy A. Obuchowski, James Wiskin und 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 each identified anatomical structure were plotted. Finally, a visual grading analysis was performed on images to determine whether radiologists’ confidence in identifying breast structures with mammography (XRM) is comparable to QT Ultrasound.Results. QT Ultrasound identified all major anatomical features of the breast, and speed of sound calculations showed specific values for different breast tissues. Using linear discriminant analysis overall accuracy is 91.4%. Using visual grading analysis readers scored the image quality on QT Ultrasound as better than on XRM in 69%–90% of breasts for specific tissues.Conclusions. QT Ultrasound provides accurate anatomic information and high tissue specificity using speed of sound information. Quantitative Transmission Ultrasound can distinguish different types of breast tissue with high resolution and accuracy.

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SEKIGUCHI, RYUZO, und MITSUO SATAKE. „Breast Ultrasound: Advances in Imaging With Tissue Harmonic Imaging“. Radiologist 8, Nr. 5 (September 2001): 213–20. http://dx.doi.org/10.1097/00042423-200109000-00002.

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Hahn, Camerin, und 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 properties close to breast tissues but also can be easily shaped to realistic physical models. The approach is based on regression model to match phantom's dielectric properties with the breast tissue dielectric properties found in Lazebnik et al. (2007). However, the methodology proposed here can be used to create phantoms for any tissue type as long asex vivo,in vitro, orin vivotissue dielectric properties are measured and available. Therefore, using this method, accurate benchmarking phantoms for testing emerging microwave imaging algorithms can be developed.

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Ku, Geng, Bruno D. Fornage, Xing Jin, Minghua Xu, Kelly K. Hunt und Lihong V. Wang. „Thermoacoustic and Photoacoustic Tomography of Thick Biological Tissues toward Breast Imaging“. Technology in Cancer Research & Treatment 4, Nr. 5 (Oktober 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 of 1064 nm.

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Kopans, D. B., C. A. Swann, G. White, K. A. McCarthy, D. A. Hall, S. J. Belmonte und W. Gallagher. „Asymmetric breast tissue.“ Radiology 171, Nr. 3 (Juni 1989): 639–43. http://dx.doi.org/10.1148/radiology.171.3.2541463.

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Joachimowicz, Nadine, Bernard Duchêne, Christophe Conessa und Olivier Meyer. „Anthropomorphic Breast and Head Phantoms for Microwave Imaging“. Diagnostics 8, Nr. 4 (18.12.2018): 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 laboratories to test their measurement systems in the framework of the COST (European Cooperation in Science and Technology) Action TD1301-MiMed. As for the tissue mimicking liquid mixtures, they are based upon Triton X-100 and salted water. It has been proven that such mixtures can dielectrically mimic the various breast tissues. It is shown herein that they can also accurately mimic most of the head tissues and that, given a binary fluid mixture model, the respective concentrations of the various constituents needed to mimic a particular tissue can be predetermined by means of a standard minimization method.

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Rosen, Eric L., und Mary Scott Soo. „Tissue harmonic imaging sonography of breast lesions“. Clinical Imaging 25, Nr. 6 (November 2001): 379–84. http://dx.doi.org/10.1016/s0899-7071(01)00335-7.

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Nikolic, Jelena, Marija Marinkovic, Dragana Lekovic-Stojanov, Isidora Djozic, Nada Vuckovic und Zlata Janjic. „Bilateral axillary accessory breasts: A case report and literature review“. Medical review 73, Nr. 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 authors present a 45-year-old female patient who was referred to a surgeon by a general practitioner with a diagnosis of lipomas in both axillary regions. After clinical examination and additional imaging diagnostic procedures (ultrasound and mammography) accessory breasts were suspected. The patient underwent surgery and the accessory tissue was resected. The histopathological examination confirmed the clinical diagnosis of ectopic breasts without any pathological processes. Conclusion. Accessory breast is a rare congenital malformation and its early diagnosis and surgical removal should prevent development of different pathological processes, including breast cancer.

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Dissertationen zum Thema "Breast tissue imaging"

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.
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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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 calcifications in breast tissue obtained using DEI to those obtained using conventional radiography. The presence of calcifications in breast tissue has been connected to breast cancer, but this relationship is not well understood. The purpose of this dissertation is to study the improvements in image contrast of calcifications in healthy as well as cancerous breast tissue when using synchrotron-based DEI compared to conventional synchrotron-based methods. Image contrast is in part determined by the capabilities of the detector in the imaging system, and this relation was used to determine the effect of the limits of spatial resolution on near-pixel-sized objects, both by experiment and by computer modeling. Consistent definitions for image contrast were presented and applied to test objects, followed by application to breast tissue specimens containing calcifications. In every case, images obtained using DEI exhibited higher image contrast than the corresponding images obtained using normal radiography. The ratio of these contrast values, called the DEI gain, was consistently larger than unity, indicating that DEI does indeed utilize additional contrast mechanisms, such as refraction and scatter rejection, in addition to absorption and provides support for the development of a clinical prototype.

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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 and multi-centre studies. This PhD thesis investigated the influences from the imaging process and image evaluation on SWE measurements. Various parameters were appraised with regard to their diagnostic performance, in order to define the best clinical standard. To define more complex image analysis, taking the parameters investigated into account, algorithms were devised to enable automatic assessment of B-mode and SWE images. In this work, influences from the imaging process and image evaluation on the SWE measurements were demonstrated. The influences investigated included: the impact from the region of interest and the imaging plane used; the individual variation in breast composition; the number of images considered and the pressure applied during imaging. The algorithms described within this work achieved a diagnostic accuracy similar to that of manual assessment by a radiology expert. This thesis demonstrated influences from the imaging process and image evaluation on the SWE measurements obtained. Taking these influences into consideration would complicate the clinical application of SWE imaging. However, automatic image evaluation as presented here would overcome this issue. Using the guidelines defined in this PhD thesis also allows for comparison of results taken from different imaging sites.

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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, und 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 their equipment. The purpose of this paper is to discover a way to mechanically position a transmitter so that it can be moved along a breast model. The investigation will be made through a product development process in order to review the research question: RQ: “How can a product be designed to position and adjust a microwave transmitter to various locations in order to help testing of cancer research equipment?” By using an agile working methodology in combination with a Design thinking process this thesis includes several sprints that involved continues improvement and feedback from the research team. The first sprint was mostly to discover and experiment on new design ideas as well as control if any of them could work. It resulted in need of measurement changes and redesigning. The second sprint involved measurement corrections. The model itself had the reasonable measurements and the functions worked as expected. However, some of the functions needed to be improved as well as a problem with clearing of the wires to the transmitter itself. The third sprint included changes where more freedom was given and more clearance was made for the wires, but this design turned out to be unpredictable. The fourth sprint included a completely new design to stabilizing the prototype as a result from the researchers’ feedback. To answer the research question, the final design resulted in a 3D printed stand designed to move the transmitter along x-axis as well as rotate around y-axis to adjust to different breast diameters and forms. The stand also includes a rack and pinion design that makes it possible to adjust to different breast lengths. Lastly, the stand makes it possible to gradually move the transmitter around the breast model. However, the final design does not only answer the research question it also fulfils stability and functionality requirements set by the research team. This clarifies why the first iterations needed redesigning. Therefore, the stand is ready for preliminary tests of the researcher’s equipment. To conclude, there are many different design solutions that can answer the research question. However, the design requires stability which reduce the number of design solutions.

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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 spectral analysis) to better estimate the degree of echogenicity and generate parametric images where the visibility of breast mass boundaries is improved (SPV parametric image). Moreover, an algorithm is proposed to recover some anatomical structures (particularly, Cooper’s ligaments) which are shadowed during the image acquisition process (LWSPV parametric image). The information from both algorithms is combined to generate a final SPV+LWSPV parametric image. A 20-case pilot study was conducted on clinical data, which showed that the SPV+LWSPV parametric image added useful information to the B-mode image for clinical assessment in 85% of the cases (increase in diagnostic confidence in at least one boundary). Moreover, in 35% of the cases, the SPV+LWSPV parametric image provided a better definition of the entire boundary. Note that the radiologist knew the final diagnosis from histopathology. In addition, the SPV+LWSPV method has the advantage that it uses the I/Q data from a standard ultrasound equipment without the need for additional hardware. On the basis of these facts, we believe there to be a case for further investigation of the SPV+LWSPV imaging as a useful clinical tool in the pre-operative assessment of breast mass boundaries.

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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) microspectroscopic imaging of histological sections allows obtaining, for each pixel of tissue images, hundreds of independent potential markers, which makes this technique a particularly powerful tool to distinguish cell types and subtypes. As a complement to the conventional clinicopathological evaluation, this spectroscopic approach has the potential to directly reveal molecular descriptors that should allow identifying different clonal lineages found within a single tumor and therefore provide knowledge relevant to diagnosis, prognosis and treatment personalization. Yet, interpretation of infrared (IR) spectra acquired on tissue sections requires a well-established calibration, which is currently missing. Conventionally, mammary epithelial cells are studied in vitro as adherent two-dimensional (2D) monolayers, which lead to the alteration of cell-microenvironmental interplay and consequently to the loss of tissue structure and function. A number of key in vivo-like interactions may be re-established with the use of three-dimensional (3D) laminin-rich extracellular matrix (lrECM)-based culture systems. The aim of this thesis is to investigate by FTIR imaging the influence of the in vitro growth environment (2D culture versus 3D lrECM culture and 3D monoculture versus 3D co-culture with fibroblasts) on a series of thirteen well-characterized human breast cancer cell lines and to determine culture conditions generating spectral phenotypes that are closer to the ones observed in malignant breast tissues. The reference cell lines cultured in a physiologically relevant basement membrane model and having undergone formalin fixation, paraffin embedding (FFPE), a routine treatment used to preserve clinical tissue specimens, could contribute to the construction of a spectral database. The latter could be ultimately employed as a valuable tool to interpret IR spectra of cells present in tumor tissue sections, particularly through the recognition of unique spectral markers.To achieve the goal, we developed and optimized, in a first step, the preparation of samples derived from traditional 2D and 3D lrECM cell cultures in order to preserve their morphological and molecular relevance for FTIR microspectroscopic analysis. We then highlighted the importance of the influence of the growth environment on the cellular phenotype by comparing spectra of 2D- and 3D-cultured breast cancer cell lines between them. A particular focus was placed to establish a correlation between FTIR spectral data and publicly available microarray-based gene expression patterns of the whole series of breast cancer cell lines grown in 2D and 3D lrECM cultures. Our results revealed that, although based on completely different principles, gene expression profiling and FTIR spectroscopy are similarly sensitive to both the cell line identity and the phenotypes induced by cell culture conditions. We also identified by FTIR imaging changes in the chemical content occurring in the microenvironment surrounding cell spheroids grown in 3D lrECM culture model. Finally, we illustrated the impact of the in vivo-like microenvironment on the IR spectra of breast cancer cell lines grown in 3D lrECM co-culture with fibroblasts and compared them with spectra of cell lines grown in 3D lrECM monoculture. Unsupervised statistical data analyses reported that cells grown in 3D co-cultures produce spectral phenotypes similar to the ones observed in FFPE tumor tissue sections from breast carcinoma patients. Altogether, our results suggest that FFPE samples prepared from 3D lrECM cultures of breast cancer cell lines and studied by FTIR microspectroscopic imaging provide reliable information that could be integrated in the setting up of a recognition model aiming to identify and interpret specific spectral signatures of cells present in breast tumor tissue sections.
Le cancer du sein est une maladie très hétérogène, tant au niveau clinique que biologique. Cette hétérogénéité rend impossible la caractérisation moléculaire complète des cellules cancéreuses individuelles dans la pratique clinique courante. Dans ce contexte, l’imagerie infrarouge à transformée de Fourier (FTIR) des coupes tissulaires permet d'obtenir pour chaque pixel d'une image de tissu des centaines de marqueurs potentiels indépendants, ce qui pourrait faire de cette technique un outil particulièrement puissant pour identifier des différents types et sous-types cellulaires. L'interprétation des spectres infrarouges (IR) enregistrés à partir des coupes histologiques nécessite cependant une calibration qui fait actuellement défaut. Cette calibration pourrait être obtenue à partir de lignées cellulaires tumorales bien caractérisées. Traditionnellement, les cellules épithéliales mammaires sont étudiées in vitro sous forme de monocouches adhérentes bidimensionnelles (2D), ce qui conduit à l'altération de la communication entre les cellules et leur environnement et, par conséquent, à la perte de l’architecture et de la fonction du tissu épithélial. Un certain nombre d'interactions physiologiques clés peuvent être rétablies en utilisant des systèmes de culture tridimensionnelle (3D) dans une matrice extracellulaire riche en laminine (lrECM). L'objectif de cette thèse consiste à étudier par imagerie FTIR l'influence du microenvironnement (via une comparaison entre les cultures 2D et 3D lrECM ou les cultures 3D lrECM en présence ou en l’absence de fibroblastes) sur une série de treize lignées de cellules tumorales mammaires humaines bien caractérisées et à déterminer les conditions de culture générant des phénotypes spectraux qui se rapprochent le plus de ceux observés dans les tissus tumoraux. Au cours de ce travail, nous avons mis au point la culture des lignées cellulaires dans un modèle 3D lrECM ainsi qu’une méthodologie de préparation des échantillons offrant la possibilité de les comparer de manière pertinente avec les cellules cancéreuses présentes dans les coupes histologiques. De même, nous avons étudié par imagerie FTIR les effets du microenvironnement sur les lignées de cellules tumorales et inversement. Pour les lignées investiguées, le passage d’une culture 2D à une culture 3D lrECM s’accompagne, en effet, de modifications du spectre IR étroitement corrélées aux modifications du transcriptome. Les marqueurs spectraux indiquent également que l’environnement 3D génère un phénotype cellulaire proche de celui trouvé dans les coupes histologiques. De manière intéressante, cette proximité est d’autant plus renforcée en présence de fibroblastes dans le milieu de culture.
Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished

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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 médical. Cette Thèse a le but de contribuer à une compréhension plus profonde de ces techniques, en particulier la propagation-based imaging (PBI), la analyzer-based imaging (ABI) et la grating interferometry (GIFM), et d'étudier leur potentiel et la meilleure implémentation pratique pour les applications médicales. Une partie importante de cette Thèse est dédiée à l'utilisation d'algorithmes mathématiques pour l'extraction, à partir des images acquises, d'informations quantitatives (absorption, réfraction et diffusion) concernant l'échantillon. En particulier, cinq parmi les algorithmes les plus connus pour la technique ABI sont analysés théoriquement et comparés expérimentalement, dans les modalités planaire et tomographique, en utilisant des fantômes et des échantillons de tissu mammaire et d'os-cartilage. Une méthode semi-quantitative pour l'acquisition et la reconstruction d'images tomographiques dans les techniques ABI et GIFM est aussi proposée. Les conditions de validité sont analysées en détail et la méthode, permettant une simplification considérable de l'implémentation pratique, est vérifiée expérimentalement sur des fantômes et des échantillons humains. Enfin, une comparaison théorique et expérimentale des techniques PBI, ABI et GIFM est présentée. Les avantages et les désavantages de chacune des techniques sont mis en évidence. Les résultats obtenus par cette analyse peuvent être très utiles pour déterminer quelle technique est la plus adaptée à une application donnée.

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García, Marcos Eloy. „Glandular tissue pattern analysis through multimodal MRI-mammography registration“. Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/585969.

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Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging (MRI), leads to a more accurate diagnosis. The aim of this thesis is double, on the one hand, to evaluate the similarity between the information obtained from x-ray mammography and from MRI images and, on the other hand, to propose new registration algorithms to perform the correlation between the two image modalities. The problem includes from the biomechanical model construction, obtained from the MRI volume, the mechanical deformation, which is performed during the mammographic acquisition, the x-ray beam simulation traversing the breast in order to obtain the image (pseudo-mammogram) and the registration process to improve the similarity between the real and the synthetic images
El càncer de mama és el tipus de càncer més comú entre les dones de tot el món. Diversos estudis han demostrat que la combinació de diferents modalitats d'imatge mèdica, com ara la mamografia i la ressonància magnètica (MRI), comporta un diagnòstic més precís. L'objectiu d'aquesta tesi és doble, per una banda avaluar la similitud de la informació entre la mamografia de raigs X i la MRI i, d’altra banda, proposar nous algoritmes de registre que serveixin per a correlacionar la posició espacial en les dues modalitats d'imatge. El problema abarca la construcció del model biomecànic de la mama a partir de la ressonància magnètica, la simulació de la deformació que pateix la mama durant l’adquisició mamogràfica, la simulació dels rajos X atravessant la mama fins a obtenir la imatge (pseudo-mamografia) i els mètodes de registre posteriors per tal de millorar la similitud entre la imatge real i la simulada

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Bücher zum Thema "Breast tissue imaging"

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

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Andersson, Ingvar, Robert D. Boutin und 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., und Nazanin Yaghmai. Breast Implants. Herausgegeben von Christoph I. Lee, Constance D. Lehman und 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 implants, reviews the key imaging and clinical features, imaging protocols and pitfalls, and management recommendations for breast implants. Topics discussed include types of implants, imaging findings of intact implants, and signs of ruptured implants, using mammography, ultrasound, and magnetic resonance imaging.

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Joines, Melissa M. Post-Reconstruction Breast. Herausgegeben von Christoph I. Lee, Constance D. Lehman und 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 protocols and pitfalls, differential diagnoses, and management recommendations for the reconstructed breast. Topics discussed include tissue expander/implant and autologous tissue flap reconstruction, reconstruction complications, tumor recurrence, and management recommendations.

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Foo, Eric, und Bonnie N. Joe. Mass in Male (Gynecomastia, Cancer). Herausgegeben von Christoph I. Lee, Constance D. Lehman und 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 protocols, pitfalls, differential diagnoses, radiology–pathology correlation, and management recommendations for gynecomastia and cancer of the male breast. Topics discussed include gynecomastia, breast cancer, pseudogynecomastia, hypogonadism, and lymphangioma.

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Kettler, Mark D. Circumscribed Mass: Fibroadenoma. Herausgegeben von Christoph I. Lee, Constance D. Lehman und 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 distortion, reviews the key clinical and imaging features, differential diagnosis, and management recommendations for fibroadenomas.

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Durand, Melissa A. Architectural Distortion (Cancer). Herausgegeben von Christoph I. Lee, Constance D. Lehman und Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0029.

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An architectural distortion (AD) is an alteration of the breast parenchyma, which results in radiating lines or spicules emanating from a point without a distinct mass. It can occur as the primary finding, or it may be an associated feature of a mass, asymmetry, or calcifications. AD is a mammographic finding with a high positive predictive value for malignancy and is a major cause of false-negative screening exams. This chapter, appearing in the section on asymmetry, mass, and distortion, reviews the key imaging and clinical features, imaging protocols, differential diagnoses, management recommendations, and potential pitfalls for a malignant architectural distortion. Topics discussed include superimposition of breast tissue, localization, workup of tomosynthesis-detected architectural distortion, and image-guided biopsy options.

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Valencia, Elizabeth M., und Christoph I. Lee. Two-View Asymmetry. Herausgegeben von Christoph I. Lee, Constance D. Lehman und Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0014.

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This chapter reviews key imaging features, protocols, pitfalls, differential diagnoses, and management recommendations for a two-view asymmetry. A focal asymmetry is a small amount of fibroglandular dense tissue seen on two views that is asymmetric compared to the contralateral breast. A global asymmetry is defined as a large focal asymmetry that extends beyond one breast quadrant. A developing asymmetry is defined as a focal asymmetry that is new, denser, or larger when compared to prior mammograms. In general, an asymptomatic global asymmetry is considered a normal variant. In contrast, a developing asymmetry should be evaluated with greater suspicion. Topics discussed in the chapter are superimposition, global asymmetry, developing asymmetry, and triangulation.

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Breast Cancer: Setting Priorities for Effectiveness Research. Natl Academy Pr, 1990.

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Levesque, Paul H., und Laura Sheiman. One-View Asymmetry. Herausgegeben von Christoph I. Lee, Constance D. Lehman und Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0013.

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This chapter, appearing in the section “Asymmetry, Mass, and Distortion,” will discuss the presence of tissue asymmetry visualized only on one view. The distribution of fibroglandular tissue is extremely variable and unique from one patient to another; however, in most patients the parenchyma is usually distributed within the breasts symmetrically in a “mirror-image” fashion. Areas of tissue density (asymmetry) may be seen that are only visualized on the craniocaudal (CC) or mediolateral oblique (MLO) view. In the majority of patients, this finding represents superimposed normal tissue, or islands of normal parenchyma. Occasionally, underlying benign lesions may present as a tissue asymmetry. Rarely, a one-view asymmetry may represent a malignancy. This section will discuss the imaging features (including mammography, tomosynthesis, and ultrasound assessment), clinical features, differential diagnosis, and management suggestions for one-view asymmetries.

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Buchteile zum Thema "Breast tissue imaging"

Wu, Shandong, Susan Weinstein, Brad M. Keller, Emily F. Conant und Despina Kontos. „Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI“. In Breast Imaging, 244–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_32.

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Avanaki, Ali R. N., Kathryn S. Espig, Albert Xthona und Tom R. L. Kimpe. „Estimation of Perceived Background Tissue Complexity in Mammograms“. In Breast Imaging, 316–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41546-8_40.

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Petersen, Kersten, Mads Nielsen, Pengfei Diao, Nico Karssemeijer und Martin Lillholm. „Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning“. In Breast Imaging, 88–94. Cham: 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 und Nico Karssemeijer. „Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms“. In Breast Imaging, 239–44. Cham: 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 und Andrew D. A. Maidment. „Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic Phantoms“. In Breast Imaging, 348–55. Cham: 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 und Predrag R. Bakic. „A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom“. In Breast Imaging, 141–48. Berlin, Heidelberg: 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 und Martin J. Yaffe. „Towards a Quantitative Measure of Radiographic Masking by Dense Tissue in Mammography“. In Breast Imaging, 181–86. Cham: 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, Jainil P. Shah, Kingshuk R. Choudhury, Terence Z. Wong und Martin P. Tornai. „Quantification of Tc-99m Sestamibi Distribution in Normal Breast Tissue Using Dedicated Breast SPECT-CT“. In Breast Imaging, 402–9. Berlin, Heidelberg: 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, O. Diaz, A. Gubern-Mérida, X. Lladó und J. Martí. „Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration“. In Breast Imaging, 493–500. Cham: 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 und Susan Astley. „A Novel Framework for Fat, Glandular Tissue, Pectoral Muscle and Nipple Segmentation in Full Field Digital Mammograms“. In Breast Imaging, 201–8. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_29.

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Konferenzberichte zum Thema "Breast tissue imaging"

Duric, Nebojsa, Peter J. Littrup, Earle Holsapple, Alex Babkin, Robert Duncan, Arkady Kalinin, Roman Pevzner und Michael Tokarev. „Ultrasound tomography of breast tissue“. In Medical Imaging 2003, herausgegeben von William F. Walker und Michael F. Insana. SPIE, 2003. http://dx.doi.org/10.1117/12.479909.

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Jiang, Shudong, Xu Cao, Mingwei Zhou, Jinchao Feng, Brian W. Pogue und 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, herausgegeben von Sergio Fantini und Paola Taroni. SPIE, 2021. http://dx.doi.org/10.1117/12.2579087.

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

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Dremin, Viktor V., Dmytro Anin, Oleksii Sieryi, Mariia A. Borovkova, Juha Näpänkangas, Igor V. Meglinski und Alexander V. Bykov. „Imaging of early stage breast cancer with circularly polarized light“. In Tissue Optics and Photonics, herausgegeben von Zeev Zalevsky, Valery V. Tuchin und Walter C. Blondel. SPIE, 2020. http://dx.doi.org/10.1117/12.2554166.

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

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Duric, Nebojsa, Peter J. Littrup, Richard Leach, Jr., Steve G. Azevedo, James V. Candy, Thomas Moore, David H. Chambers, Jeffrey E. Mast und Earle Holsapple. „Using data fusion to characterize breast tissue“. In Medical Imaging 2002, herausgegeben von Michael F. Insana und William F. Walker. SPIE, 2002. http://dx.doi.org/10.1117/12.462167.

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Duric, Neb, Peter Littrup, Cuiping Li, Olivier Roy, Steve Schmidt, John Seamans, Andrea Wallen und Lisa Bey-Knight. „Whole breast tissue characterization with ultrasound tomography“. In SPIE Medical Imaging, herausgegeben von Johan G. Bosch und Neb Duric. SPIE, 2015. http://dx.doi.org/10.1117/12.2083203.

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Ballerini, Lucia, und Lennart Franzen. „Classification of microscopic images of breast tissue“. In Medical Imaging 2004, herausgegeben von J. Michael Fitzpatrick und Milan Sonka. SPIE, 2004. http://dx.doi.org/10.1117/12.535670.

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Shannon, Michael J., Ingrid M. Meszoely, Janet E. Ondrake, Thomas S. Pheiffer, Amber L. Simpson, Kay Sun und Michael I. Miga. „Initial study of breast tissue retraction toward image guided breast surgery“. In SPIE Medical Imaging, herausgegeben von David R. Holmes III und Kenneth H. Wong. SPIE, 2012. http://dx.doi.org/10.1117/12.912860.

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Robbins, Constance M., Jason Yang, James F. Antaki und Jana M. Kainerstorfer. „Hand-held multi-wavelength spatial frequency domain imaging for breast cancer imaging“. In Optical Tomography and Spectroscopy of Tissue XIII, herausgegeben von Sergio Fantini, Paola Taroni, Bruce J. Tromberg und Eva M. Sevick-Muraca. SPIE, 2019. http://dx.doi.org/10.1117/12.2510399.

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Berichte der Organisationen zum Thema "Breast tissue imaging"

Dehghani, Hamid. Three Dimensional Reconstruction Algorithm for Imaging Pathophysiological Signal within Breast Tissue Using Near Infrared Light. Fort Belvoir, VA: Defense Technical Information Center, Juli 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. Fort Belvoir, VA: Defense Technical Information Center, Juli 2006. http://dx.doi.org/10.21236/ada459783.

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Trahey, Gregg E. A Novel Ultrasonic Imaging Method for Remote Palpation of Breast Tissues. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada400056.

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