Medical Imaging Systems PDF Download
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Author | : Andreas Maier |
Publisher | : Springer |
Total Pages | : 263 |
Release | : 2018-08-02 |
Genre | : Computers |
ISBN | : 3319965204 |
Download Medical Imaging Systems Book in PDF, ePub and Kindle
This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.
Author | : Albert Macovski |
Publisher | : Prentice Hall |
Total Pages | : 280 |
Release | : 1983 |
Genre | : Computers |
ISBN | : |
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Author | : Jerry L. Prince |
Publisher | : Prentice Hall |
Total Pages | : 544 |
Release | : 2014 |
Genre | : Medical |
ISBN | : 9780132145183 |
Download Medical Imaging Signals and Systems Book in PDF, ePub and Kindle
Covers the most important imaging modalities in radiology: projection radiography, x-ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. Organized into parts to emphasize key overall conceptual divisions.
Author | : Arnulf Oppelt |
Publisher | : John Wiley & Sons |
Total Pages | : 996 |
Release | : 2011-02-25 |
Genre | : Medical |
ISBN | : 3895786691 |
Download Imaging Systems for Medical Diagnostics Book in PDF, ePub and Kindle
The book provides a comprehensive compilation of fundamentals, technical solutions and applications for medical imaging systems. It is intended as a handbook for students in biomedical engineering, for medical physicists, and for engineers working on medical technologies, as well as for lecturers at universities and engineering schools. For qualified personnel at hospitals, and physicians working with these instruments it serves as a basic source of information. This also applies for service engineers and marketing specialists. The book starts with the representation of the physical basics of image processing, implying some knowledge of Fourier transforms. After that, experienced authors describe technical solutions and applications for imaging systems in medical diagnostics. The applications comprise the fields of X-ray diagnostics, computed tomography, nuclear medical diagnostics, magnetic resonance imaging, sonography, molecular imaging and hybrid systems. Considering the increasing importance of software based solutions, emphasis is also laid on the imaging software platform and hospital information systems.
Author | : Troy Farncombe |
Publisher | : CRC Press |
Total Pages | : 740 |
Release | : 2017-12-19 |
Genre | : Science |
ISBN | : 1466582634 |
Download Medical Imaging Book in PDF, ePub and Kindle
The book has two intentions. First, it assembles the latest research in the field of medical imaging technology in one place. Detailed descriptions of current state-of-the-art medical imaging systems (comprised of x-ray CT, MRI, ultrasound, and nuclear medicine) and data processing techniques are discussed. Information is provided that will give interested engineers and scientists a solid foundation from which to build with additional resources. Secondly, it exposes the reader to myriad applications that medical imaging technology has enabled.
Author | : Cornelius T. Leondes |
Publisher | : Taylor & Francis |
Total Pages | : 246 |
Release | : 1997 |
Genre | : Cardiovascular system |
ISBN | : 9789056995096 |
Download Medical Imaging Systems Techniques and Applications: Cardiovascular systems Book in PDF, ePub and Kindle
First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Author | : Kenji Suzuki |
Publisher | : Springer |
Total Pages | : 387 |
Release | : 2018-01-09 |
Genre | : Technology & Engineering |
ISBN | : 331968843X |
Download Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging Book in PDF, ePub and Kindle
This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Author | : Krzysztof Iniewski |
Publisher | : John Wiley & Sons |
Total Pages | : 328 |
Release | : 2009-02-18 |
Genre | : Science |
ISBN | : 9780470451809 |
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A must-read for anyone working in electronics in the healthcare sector This one-of-a-kind book addresses state-of-the-art integrated circuit design in the context of medical imaging of the human body. It explores new opportunities in ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, SPECT), emerging detector technologies, circuit design techniques, new materials, and innovative system approaches. Divided into four clear parts and with contributions from a panel of international experts, Medical Imaging systematically covers: X-ray imaging and computed tomography–X-ray and CT imaging principles; Active Matrix Flat Panel Imagers (AMFPI) for diagnostic medical imaging applications; photon counting and integrating readout circuits; noise coupling in digital X-ray imaging Nuclear medicine–SPECT and PET imaging principles; low-noise electronics for radiation sensors Ultrasound imaging–Electronics for diagnostic ultrasonic imaging Magnetic resonance imaging–Magnetic resonance imaging principles; MRI technology
Author | : Paul Suetens |
Publisher | : Cambridge University Press |
Total Pages | : 265 |
Release | : 2009-08-06 |
Genre | : Medical |
ISBN | : 1139479881 |
Download Fundamentals of Medical Imaging Book in PDF, ePub and Kindle
Fundamentals of Medical Imaging, second edition, is an invaluable technical introduction to each imaging modality, explaining the mathematical and physical principles and giving a clear understanding of how images are obtained and interpreted. Individual chapters cover each imaging modality – radiography, CT, MRI, nuclear medicine and ultrasound – reviewing the physics of the signal and its interaction with tissue, the image formation or reconstruction process, a discussion of image quality and equipment, clinical applications and biological effects and safety issues. Subsequent chapters review image analysis and visualization for diagnosis, treatment and surgery. New to this edition: • Appendix of questions and answers • New chapter on 3D image visualization • Advanced mathematical formulae in separate text boxes • Ancillary website containing 3D animations: www.cambridge.org/suetens • Full colour illustrations throughout Engineers, clinicians, mathematicians and physicists will find this an invaluable aid in understanding the physical principles of imaging and their clinical applications.
Author | : KC Santosh |
Publisher | : Academic Press |
Total Pages | : 172 |
Release | : 2021-09-07 |
Genre | : Computers |
ISBN | : 0128236507 |
Download Deep Learning Models for Medical Imaging Book in PDF, ePub and Kindle
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow ‘with’ and ‘without’ transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation (source codes: available upon request)