image reconstruction applications in medical sciences de gruyter textbook

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Image Reconstruction

Author : Gengsheng Lawrence Zeng
ISBN : 9783110500592
Genre : Medical
File Size : 61. 20 MB
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This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. Both analytical and iterative methods are presented. The applications in X-ray CT, SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging) are discussed. Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich’s cone-beam filtered backprojection algorithm, and reconstruction with highly under-sampled data are included. The last chapter of the book is devoted to the techniques of using a fast analytical algorithm to reconstruct an image that is equivalent to an iterative reconstruction. These techniques are the author’s most recent research results. This book is intended for students, engineers, and researchers who are interested in medical image reconstruction. Written in a non-mathematical way, this book provides an easy access to modern mathematical methods in medical imaging.

Close Range Photogrammetry And 3d Imaging

Author : Thomas Luhmann
ISBN : 9783110302783
Genre : Science
File Size : 34. 65 MB
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This is the second edition of the well-known guide to close-range photogrammetry. It provides a thorough presentation of the methods, mathematics, systems and applications which comprise the subject of close-range photogrammetry, which uses accurate imaging techniques to analyse the three-dimensional shape of a wide range of manufactured and natural objects.

Optically Induced Nanostructures

Author : Karsten König
ISBN : 9783110383508
Genre : Science
File Size : 73. 67 MB
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Nanostructuring of materials is a task at the heart of many modern disciplines in mechanical engineering, as well as optics, electronics, and the life sciences. This book includes an introduction to the relevant nonlinear optical processes as well as coverage of state-of-the-art applications of non-UV radiation such as cell reprogramming, surface treatments of implants, production of nanowires, friction modification, and 3D data storage.

Image Understanding

Author : Yujin Zhang
ISBN : 9783110524130
Genre : Technology & Engineering
File Size : 85. 78 MB
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This graduate textbook explains image restoration technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.

Compressive Sensing

Author : Joachim Ender
ISBN : 311033531X
Genre : Mathematics
File Size : 74. 22 MB
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Compressive Sensing is a new technique in signal processing, enabling imaging systems with limited capabilities in bandwidth or resolution to recover "natural?" signals with high accuracy. This graduate textbook provides detailed background for study and research in compressive sensing, including signal models, measurement schemes, recovery algorithms, highlighting recent theoretical results and showing a broad range of applications.

Bispectral Methods Of Signal Processing

Author : Alexander V. Totsky
ISBN : 9783110386066
Genre : Technology & Engineering
File Size : 78. 10 MB
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By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques based on bispectral methods. Improved robustness against different forms of noise as well as preservation of phase information render this method a valuable alternative to common power-spectrum analysis used in radar object recognition, digital wireless communications, and jitter removal in images.

Compact Nmr

Author : Bernhard Blümich
ISBN : 9783110374582
Genre : Technology & Engineering
File Size : 77. 75 MB
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Nuclear Magnetic Resonance (NMR) spectroscopy is the most popular method for chemists to analyze molecular structures while Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic tool for medical doctors that provides high-contrast images of biological tissue depicting the brain function and the beating heart. The book offers a basic introduction to NMR with portable devices, the equipment, the experimental set-up, types of NMR experiments, example applications, and data evaluation procedures. Each description follows the same didactic pattern: introduction, basic theory, pulse sequences and parameters, beginners-level measurements, advanced-level measurements, data processing. Mobile NMR simplified to approach the level of operating a smart phone!

Genomic Signal Processing

Author : Ilya Shmulevich
ISBN : 9781400865260
Genre : Science
File Size : 47. 83 MB
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Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.

Variational Methods

Author : Maitine Bergounioux
ISBN : 9783110430394
Genre : Mathematics
File Size : 34. 33 MB
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With a focus on the interplay between mathematics and applications of imaging, the first part covers topics from optimization, inverse problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric control and related topics, including Riemannian geometry, celestial mechanics and quantum control. Contents: Part I Second-order decomposition model for image processing: numerical experimentation Optimizing spatial and tonal data for PDE-based inpainting Image registration using phase・amplitude separation Rotation invariance in exemplar-based image inpainting Convective regularization for optical flow A variational method for quantitative photoacoustic tomography with piecewise constant coefficients On optical flow models for variational motion estimation Bilevel approaches for learning of variational imaging models Part II Non-degenerate forms of the generalized Euler・Lagrange condition for state-constrained optimal control problems The Purcell three-link swimmer: some geometric and numerical aspects related to periodic optimal controls Controllability of Keplerian motion with low-thrust control systems Higher variational equation techniques for the integrability of homogeneous potentials Introduction to KAM theory with a view to celestial mechanics Invariants of contact sub-pseudo-Riemannian structures and Einstein・Weyl geometry Time-optimal control for a perturbed Brockett integrator Twist maps and Arnold diffusion for diffeomorphisms A Hamiltonian approach to sufficiency in optimal control with minimal regularity conditions: Part I Index

Information Technology For Patient Empowerment In Healthcare

Author : Maria Adela Grando
ISBN : 9781614519553
Genre : Technology & Engineering
File Size : 90. 32 MB
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The authors explore novel information-based mechanisms that are changing the way patients are involved in their own health care. The book covers models, frameworks and technologies to improve patient-to-provider communication, patient interaction with information technologies, patient education and involvement in health care decision processes, and patient access, understanding and control over their clinical data.

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