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Ultrasound Imaging - Current Topics presents complex and current topics in ultrasound imaging in a simplified format. It is easy to read and exemplifies the range of experiences of each contributing author. Chapters address such topics as anatomy and dimensional variations, pediatric gastrointestinal emergencies, musculoskeletal and nerve imaging as well as molecular sonography. The book is a useful resource for researchers, students, clinicians, and sonographers looking for additional information on ultrasound imaging beyond the basics.
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Ultrasound Imaging - Current Topics presents complex and current topics in ultrasound imaging in a simplified format. It is easy to read and exemplifies the range of experiences of each contributing author. Chapters address such topics as anatomy and dimensional variations, pediatric gastrointestinal emergencies, musculoskeletal and nerve imaging as well as molecular sonography. The book is a useful resource for researchers, students, clinicians, and sonographers looking for additional information on ultrasound imaging beyond the basics.
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Ultrasound Imaging - Current Topics presents complex and current topics in ultrasound imaging in a simplified format. It is easy to read and exemplifies the range of experiences of each contributing author. Chapters address such topics as anatomy and dimensional variations, pediatric gastrointestinal emergencies, musculoskeletal and nerve imaging as well as molecular sonography. The book is a useful resource for researchers, students, clinicians, and sonographers looking for additional information on ultrasound imaging beyond the basics.
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The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging ISBI 2022 will be the 19th meeting in this series The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging The 2022 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
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La TEP-TDM est désormais une technique d'imagerie essentielle en oncologie. Permettant d'étudier l'activité métabolique des tissus grâce à un traceur radioactif, elle a transformé en profondeur les modalités de prise en charge des patients présentant un cancer. Mais, les possibilités qu'elle offre lui permettent également de jouer un rôle important dans l'élaboration de diagnostics de pathologies non cancéreuses. L'ouvrage rappelle d'abord l'anatomie des structures présentes au niveau de l'ensemble du corps (squelette, peau, muscles, graisse et ganglions). Puis, classées par région anatomique, les pathologies peuvent être comparées, grâce à plus de 800 clichés de haute qualité. La pathologie maligne, les tumeurs bénignes, la pathologie infectieuse, la pathologie dégénérative et éventuellement les maladies de système sont ainsi largement documentées afin de souligner ce qui peut aider au diagnostic différentiel. Sont ainsi successivement abordés : le cerveau, le cou et la face, le thorax, les seins, l'abdomen, l'appareil urinaire, les surrénales, le pelvis féminin, la prostate, les testicules et la pédiatrie. Cette organisation recoupe la pratique quotidienne lors de l'interprétation des examens TEP-TDM. Cet ouvrage, destiné principalement à un public de médecins nucléaires, de radiologues, d'oncologues et d'hématologues, confirmé ou en devenir, constitue le premier ouvrage de référence en langue française sur le sujet.
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Cancer --- Imaging of cancer --- Imaging.
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This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference. The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing hearts, learning cardiac motion using biomechanical networks, physics-informed neural networks for left atrial appendage occlusion, biventricular mechanics for Tetralogy of Fallot, ventricular arrhythmia prediction by using graph convolutional network, and deeper analysis of racial and sex biases from machine learning-based cardiac segmentation. In addition, 14 papers from the CMRxMotion challenge are included in the proceedings which aim to assess the effects of respiratory motion on cardiac MRI (CMR) imaging quality and examine the robustness of segmentation models in face of respiratory motion artefacts. A total of 48 submissions to the workshop was received.
Heart --- Imaging. --- Cardiac diagnostic imaging --- Cardiac imaging --- Diagnostic cardiac imaging --- Imaging of the heart --- Diseases --- Imaging
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