High performance Deformable Image Registration Algorithms for Manycore Processors Book

High performance Deformable Image Registration Algorithms for Manycore Processors


  • Author : James Shackleford
  • Publisher : Morgan Kaufmann
  • Release Date : 2013
  • Genre: Computers
  • Pages : 114
  • ISBN 10 : 0124077412

DOWNLOAD BOOK
High performance Deformable Image Registration Algorithms for Manycore Processors Excerpt :

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans. This book demonstrates: How to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms How to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs Programming "tricks" that can help readers develop other image processing algorithms, including registration algorithms for the GPU

High Performance Deformable Image Registration Algorithms for Manycore Processors Book

High Performance Deformable Image Registration Algorithms for Manycore Processors


  • Author : James Shackleford
  • Publisher : Newnes
  • Release Date : 2013-06-28
  • Genre: Computers
  • Pages : 122
  • ISBN 10 : 9780124078802

DOWNLOAD BOOK
High Performance Deformable Image Registration Algorithms for Manycore Processors Excerpt :

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans. Demonstrates how to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms Shows how to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs Provides Programming "tricks" that can help readers develop other image processing algorithms, including registration algorithms for the GPU

Graphics Processing Unit Based High Performance Computing in Radiation Therapy Book

Graphics Processing Unit Based High Performance Computing in Radiation Therapy


  • Author : Xun Jia
  • Publisher : CRC Press
  • Release Date : 2018-09-21
  • Genre: Medical
  • Pages : 396
  • ISBN 10 : 9781351231664

DOWNLOAD BOOK
Graphics Processing Unit Based High Performance Computing in Radiation Therapy Excerpt :

Use the GPU Successfully in Your Radiotherapy Practice With its high processing power, cost-effectiveness, and easy deployment, access, and maintenance, the graphics processing unit (GPU) has increasingly been used to tackle problems in the medical physics field, ranging from computed tomography reconstruction to Monte Carlo radiation transport simulation. Graphics Processing Unit-Based High Performance Computing in Radiation Therapy collects state-of-the-art research on GPU computing and its applications to medical physics problems in radiation therapy. Tackle Problems in Medical Imaging and Radiotherapy The book first offers an introduction to the GPU technology and its current applications in radiotherapy. Most of the remaining chapters discuss a specific application of a GPU in a key radiotherapy problem. These chapters summarize advances and present technical details and insightful discussions on the use of GPU in addressing the problems. The book also examines two real systems developed with GPU as a core component to accomplish important clinical tasks in modern radiotherapy. Translate Research Developments to Clinical Practice Written by a team of international experts in radiation oncology, biomedical imaging, computing, and physics, this book gets clinical and research physicists, graduate students, and other scientists up to date on the latest in GPU computing for radiotherapy. It encourages you to bring this novel technology to routine clinical radiotherapy practice.

Image Processing in Radiation Therapy Book

Image Processing in Radiation Therapy


  • Author : Kristy K. Brock
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • Genre: Medical
  • Pages : 286
  • ISBN 10 : 9781439830185

DOWNLOAD BOOK
Image Processing in Radiation Therapy Excerpt :

Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation Therapy presents an up-to-date, detailed treatment of techniques and algorithms for the registration, segmentation, reconstruction, and evaluation of imaging data. It describes how these tools are used in radiation planning, treatment delivery, and outcomes assessment. The book spans deformable registration, segmentation, and image reconstruction and shows how to incorporate these practices in radiation therapy. The first section explores image processing in adaptive radiotherapy, online monitoring and tracking, dose accumulation, and accuracy assessment. The second section describes the mathematical approach to deformable registration. The book presents similarity metrics used for registration techniques, discussing their effectiveness and applicability in radiation therapy. It also evaluates parametric and nonparametric image registration techniques and their applications in radiation therapy processes. The third section assesses the efficiency, robustness, and breadth of application of image segmentation approaches, including atlas-based, level set, and registration-based techniques. The fourth section focuses on advanced imaging techniques for radiotherapy, such as 3D image reconstruction and image registration using a graphics processor unit. With contributions from an international group of renowned authors, this book provides a comprehensive description of image segmentation and registration, in-room imaging, and advanced reconstruction techniques. Through many practical examples, it illustrates the clinical rationale and implementation of the techniques.

High Performance Medical Image Processing Book

High Performance Medical Image Processing


  • Author : Sanjay Saxena
  • Publisher : CRC Press
  • Release Date : 2022-07-07
  • Genre: Computers
  • Pages : 337
  • ISBN 10 : 9781000410372

DOWNLOAD BOOK
High Performance Medical Image Processing Excerpt :

The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in comp

Encyclopedia of Image Processing Book

Encyclopedia of Image Processing


  • Author : Phillip A. Laplante
  • Publisher : CRC Press
  • Release Date : 2018-11-08
  • Genre: Technology & Engineering
  • Pages : 856
  • ISBN 10 : 9781351032735

DOWNLOAD BOOK
Encyclopedia of Image Processing Excerpt :

The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.

Medical Image Registration Book
Score: 5
From 1 Ratings

Medical Image Registration


  • Author : Joseph V. Hajnal
  • Publisher : CRC Press
  • Release Date : 2001-06-27
  • Genre: Medical
  • Pages : 392
  • ISBN 10 : 9781420042474

DOWNLOAD BOOK
Medical Image Registration Excerpt :

Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

GPU Computing Gems Emerald Edition Book

GPU Computing Gems Emerald Edition


  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2011-01-13
  • Genre: Computers
  • Pages : 886
  • ISBN 10 : 0123849896

DOWNLOAD BOOK
GPU Computing Gems Emerald Edition Excerpt :

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 goals. It offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Readers will learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. The insights and ideas as well as practical hands-on skills in the book can be immediately put to use. Computer programmers, software engineers, hardware engineers, and computer science students will find this volume a helpful resource. For useful source codes discussed throughout the book, the editors invite readers to the following website: ..." Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution Offers insights and ide

Design for Embedded Image Processing on FPGAs Book

Design for Embedded Image Processing on FPGAs


  • Author : Donald G. Bailey
  • Publisher : John Wiley & Sons
  • Release Date : 2011-06-13
  • Genre: Technology & Engineering
  • Pages : 352
  • ISBN 10 : 9780470828526

DOWNLOAD BOOK
Design for Embedded Image Processing on FPGAs Excerpt :

Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic

Computer Vision Metrics Book
Score: 5
From 1 Ratings

Computer Vision Metrics


  • Author : Scott Krig
  • Publisher : Apress
  • Release Date : 2014-06-14
  • Genre: Computers
  • Pages : 498
  • ISBN 10 : 9781430259305

DOWNLOAD BOOK
Computer Vision Metrics Excerpt :

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.

International Conference on Cognitive based Information Processing and Applications  CIPA 2021  Book

International Conference on Cognitive based Information Processing and Applications CIPA 2021


  • Author : Bernard J. Jansen
  • Publisher : Springer Nature
  • Release Date : 2021-10-28
  • Genre: Technology & Engineering
  • Pages : 1001
  • ISBN 10 : 9789811658549

DOWNLOAD BOOK
International Conference on Cognitive based Information Processing and Applications CIPA 2021 Excerpt :

This book contains papers presented at the International Conference on Cognitive based Information Processing and Applications (CIPA) held during August 21, 2021, online conference (since COVID 19), which is divided into a 2-volume book. The papers in the second volume represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing.

Computer Vision Book
Score: 4
From 3 Ratings

Computer Vision


  • Author : Richard Szeliski
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-09-30
  • Genre: Computers
  • Pages : 812
  • ISBN 10 : 9781848829350

DOWNLOAD BOOK
Computer Vision Excerpt :

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Accelerating MATLAB with GPU Computing Book

Accelerating MATLAB with GPU Computing


  • Author : Jung W. Suh
  • Publisher : Newnes
  • Release Date : 2013-11-18
  • Genre: Computers
  • Pages : 258
  • ISBN 10 : 9780124079168

DOWNLOAD BOOK
Accelerating MATLAB with GPU Computing Excerpt :

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers’ projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge Explains the related background on hardware, architecture and programming for ease of use Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects

Statistical Shape and Deformation Analysis Book

Statistical Shape and Deformation Analysis


  • Author : Guoyan Zheng
  • Publisher : Academic Press
  • Release Date : 2017-03-23
  • Genre: Computers
  • Pages : 508
  • ISBN 10 : 9780128104941

DOWNLOAD BOOK
Statistical Shape and Deformation Analysis Excerpt :

Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice. Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis Includes implementation examples using open source software Covers real-life applications of statistical shape and deformation analysis methods

Cryptography for Developers Book

Cryptography for Developers


  • Author : Tom St Denis
  • Publisher : Elsevier
  • Release Date : 2006-12-01
  • Genre: Computers
  • Pages : 400
  • ISBN 10 : 9780080503455

DOWNLOAD BOOK
Cryptography for Developers Excerpt :

The only guide for software developers who must learn and implement cryptography safely and cost effectively. Cryptography for Developers begins with a chapter that introduces the subject of cryptography to the reader. The second chapter discusses how to implement large integer arithmetic as required by RSA and ECC public key algorithms The subsequent chapters discuss the implementation of symmetric ciphers, one-way hashes, message authentication codes, combined authentication and encryption modes, public key cryptography and finally portable coding practices. Each chapter includes in-depth discussion on memory/size/speed performance trade-offs as well as what cryptographic problems are solved with the specific topics at hand. The author is the developer of the industry standard cryptographic suite of tools called LibTom A regular expert speaker at industry conferences and events on this development