Computational Methods For Molecular Imaging
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| Author | : Fei Gao |
| Publisher | : Springer |
| Total Pages | : 203 |
| Release | : 2015-06-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3319184318 |
This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: • Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities • Molecular Imaging Enhancement • Data Analysis of Clinical & Pre-clinical Molecular Imaging • Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) • Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.
| Author | : Vinit Kumar Gunjan |
| Publisher | : Springer |
| Total Pages | : 86 |
| Release | : 2017-07-04 |
| Genre | : Technology & Engineering |
| ISBN | : 9811046360 |
This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
| Author | : Michael O. Dada |
| Publisher | : Springer Nature |
| Total Pages | : 412 |
| Release | : 2021-07-31 |
| Genre | : Science |
| ISBN | : 3030767280 |
Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.
| Author | : Brian D. Ross |
| Publisher | : Academic Press |
| Total Pages | : 1872 |
| Release | : 2021-08-03 |
| Genre | : Science |
| ISBN | : 0128163879 |
The detection and measurement of the dynamic regulation and interactions of cells and proteins within the living cell are critical to the understanding of cellular biology and pathophysiology. The multidisciplinary field of molecular imaging of living subjects continues to expand with dramatic advances in chemistry, molecular biology, therapeutics, engineering, medical physics and biomedical applications. Molecular Imaging: Principles and Practice, Volumes 1 and 2, Second Edition provides the first point of entry for physicians, scientists, and practitioners. This authoritative reference book provides a comprehensible overview along with in-depth presentation of molecular imaging concepts, technologies and applications making it the foremost source for both established and new investigators, collaborators, students and anyone interested in this exciting and important field. - The most authoritative and comprehensive resource available in the molecular-imaging field, written by over 170 of the leading scientists from around the world who have evaluated and summarized the most important methods, principles, technologies and data - Concepts illustrated with over 600 color figures and molecular-imaging examples - Chapters/topics include, artificial intelligence and machine learning, use of online social media, virtual and augmented reality, optogenetics, FDA regulatory process of imaging agents and devices, emerging instrumentation, MR elastography, MR fingerprinting, operational radiation safety, multiscale imaging and uses in drug development - This edition is packed with innovative science, including theranostics, light sheet fluorescence microscopy, (LSFM), mass spectrometry imaging, combining in vitro and in vivo diagnostics, Raman imaging, along with molecular and functional imaging applications - Valuable applications of molecular imaging in pediatrics, oncology, autoimmune, cardiovascular and CNS diseases are also presented - This resource helps integrate diverse multidisciplinary concepts associated with molecular imaging to provide readers with an improved understanding of current and future applications
| Author | : Floris G. Wouterlood |
| Publisher | : Academic Press |
| Total Pages | : 298 |
| Release | : 2012-08-08 |
| Genre | : Medical |
| ISBN | : 0123858720 |
In the biomedical sciences, the confocal laser scanning microscope (CLSM) has become the instrument of choice for producing high-resolution images and 3D reconstruction, breaking the barriers of conventional optical microscopy. Wouterlood (anatomy, VU U. Medical Center, Amsterdam, the Netherlands) introduces the confocal principle which eliminates out-of-focus haze, its components, and relevant equations. International scientists explain the principles and related methods of stimulated emission depletion (SRED), single molecule localization, and coherent anti-Stokes Raman (CARS) microscopy; labeling approaches; preparation of samples for imaging; and applications of, and developments in, this new wave of imaging, e.g., visualization of neuronal networks, DNA, and myelin. The text includes color and b&w images, and referral to an online CLSM simulator. Academic Press is an imprint of Elsevier. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com).
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 222 |
| Release | : 2006-06-01 |
| Genre | : Science |
| ISBN | : 030916463X |
Scientists and engineers have long relied on the power of imaging techniques to help see objects invisible to the naked eye, and thus, to advance scientific knowledge. These experts are constantly pushing the limits of technology in pursuit of chemical imagingâ€"the ability to visualize molecular structures and chemical composition in time and space as actual events unfoldâ€"from the smallest dimension of a biological system to the widest expanse of a distant galaxy. Chemical imaging has a variety of applications for almost every facet of our daily lives, ranging from medical diagnosis and treatment to the study and design of material properties in new products. In addition to highlighting advances in chemical imaging that could have the greatest impact on critical problems in science and technology, Visualizing Chemistry reviews the current state of chemical imaging technology, identifies promising future developments and their applications, and suggests a research and educational agenda to enable breakthrough improvements.
| Author | : Sanjiv Sam Gambhir |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
| Author | : Yoshiaki Toyama |
| Publisher | : Springer Nature |
| Total Pages | : 285 |
| Release | : 2019-10-02 |
| Genre | : Medical |
| ISBN | : 9811379084 |
This open access book describes marked advances in imaging technology that have enabled the visualization of phenomena in ways formerly believed to be completelyimpossible. These technologies have made major contributions to the elucidation of the pathology of diseases as well as to their diagnosis and therapy. The volume presents various studies from molecular imaging to clinical imaging. It also focuses on innovative, creative, advanced research that gives full play to imaging technology inthe broad sense, while exploring cross-disciplinary areas in which individual research fields interact and pursuing the development of new techniques where they fuse together. The book is separated into three parts, the first of which addresses the topic of visualizing and controlling molecules for life. Th e second part is devoted to imaging of disease mechanisms, while the final part comprises studies on the application of imaging technologies to diagnosis and therapy. Th e book contains the proceedings of the 12th Uehara International Symposium 2017, “Make Life Visible” sponsored by the Uehara Memorial Foundation and held from June 12 to 14, 2017. It is written by leading scientists in the field and is an open access publication under a CC BY 4.0 license.
| Author | : Zhangxin Chen |
| Publisher | : SIAM |
| Total Pages | : 551 |
| Release | : 2006-04-01 |
| Genre | : Computers |
| ISBN | : 0898716063 |
This book offers a fundamental and practical introduction to the use of computational methods. A thorough discussion of practical aspects of the subject is presented in a consistent manner, and the level of treatment is rigorous without being unnecessarily abstract. Each chapter ends with bibliographic information and exercises.
| Author | : D. Jude Hemanth |
| Publisher | : Elsevier |
| Total Pages | : 350 |
| Release | : 2023-11-16 |
| Genre | : Computers |
| ISBN | : 0443140006 |
Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. - Presents novel ideas for AI based mammogram data analysis - Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer - Features dozens of real-world case studies from contributors across the globe
