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Signal Processing for Magnetic Resonance Imaging and Spectroscopy
This reference/text contains the latest signal processing techniques in magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for more efficient clinical diagnoses-providing ready-to-use algorithms for image segmentation and analysis, reconstruction and visualization, and removal of distortions and artifacts for increased detec
Principles of Magnetic Resonance Imaging
In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI", and Dr. Zhi-Pei Liang have co-authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles. The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected essential topics: Mathematical fundamentals Signal generation and detection principles Signal characteristics Signal localization principles Image reconstruction techniques Image contrast mechanisms Image resolution, noise, and artifacts Fast-scan imaging Constrained reconstruction Complete with a comprehensive set of examples and homework problems, Principles of Magnetic Resonance Imaging is the must-read book to improve your knowledge of this revolutionary technique.
Flow of a Long River
This is a compilation of tributes to a gentleman who has impacted the field of biomedical engineering and musculoskeletal science for four decades through his research, his guidance and mentorships, his friendships, and his love for the field, family, and friends. It provides readers with a view of how one man can impact so many.
Micro and Nanotechnologies in Engineering Stem Cells and Tissues
A cutting-edge look at the application of micro and nanotechnologies in regenerative medicine The area at the interface of micro/nanotechnology and stem cells/tissue engineering has seen an explosion of activity in recent years. This book provides a much-needed overview of these exciting developments, covering all aspects of micro and nanotechnologies, from the fundamental principles to the latest research to applications in regenerative medicine. Written and edited by the top researchers in the field, Micro and Nanotechnologies in Engineering Stem Cells and Tissues describes advances in material systems along with current techniques available for cell, tissue, and organ studies. Readers wil...
GPU Computing Gems Emerald Edition
GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmann's Applications of GPU Computing Series, this book offers the latest insights and research in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. This book is intended to help those who are facing the challenge of programming systems to effectively use GPUs to achieve efficiency and performance ...
Compressed Sensing for Magnetic Resonance Image Reconstruction
"Discusses different ways to use existing mathematical techniques to solve compressed sensing problems"--Provided by publisher.
Medical Imaging and Augmented Reality
The 4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008, was held at the University of Tokyo, Tokyo, Japan during August 1–2, 2008. The goal of MIAR 2008 was to bring together researchersin medical imaging and intervention to present state-of-the-art developments in this ever-growing research area. Rapid technical advances in medical imaging, including its gr- ing application in drug/gene therapy and invasive/interventional procedures, have attracted signi?cant interest in the close integration of research in the life sciences, medicine, physical sciences, and engineering. Current research is also motivated by the fact that medical imaging is moving increasingly ...
Paul Lauterbur and the Invention of MRI
The story behind the invention of the most important medical diagnostic tool since the X-ray. On September 2, 1971, the chemist Paul Lauterbur had an idea that would change the practice of medical research. Considering recent research findings about the use of nuclear magnetic resonance (NMR) signals to detect tumors in tissue samples, Lauterbur realized that the information from NMR signals could be recovered in the form of images—and thus obtained noninvasively from a living subject. It was an unexpected epiphany: he was eating a hamburger at the time. Lauterbur rushed out to buy a notebook in which to work out his idea; he completed his notes a few days later. He had discovered the basi...
Medical Imaging and Augmented Reality
This book constitutes the refereed proceedings of the 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, held in Beijing, China, in September 2010. The 60 revised full papers presented were carefully reviewed and selected from 139 submissions. The papers are organized in topical sections on image segmentation, image registration, shape modeling and morphometry, image analysis, diffusion tensor image, computer assisted intervention, medical image computing, visualization and application, segmentation and classification, medical image understanding, image-guided surgery, and augmented reality.
Facial Analysis from Continuous Video with Applications to Human-Computer Interface
Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
