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High Performance Deformable Image Registration Algorithms for Manycore Processors

High Performance Deformable Image Registration Algorithms for Manycore Processors
  • Author : James Shackleford
  • Publsiher : Newnes
  • Release : 28 June 2013
  • ISBN : 012407880X
  • Pages : 122 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKHigh Performance Deformable Image Registration Algorithms for Manycore Processors

Summary:
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


High Performance Deformable Image Registration Algorithms for Manycore Processors

High Performance Deformable Image Registration Algorithms for Manycore Processors
  • Author : James Shackleford,Nagarajan Kandasamy,Gregory Sharp
  • Publisher : Newnes
  • Release : 28 June 2013
GET THIS BOOKHigh Performance Deformable Image Registration Algorithms for Manycore Processors

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

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Graphics Processing Unit-Based High Performance Computing in Radiation Therapy

Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
  • Author : Xun Jia,Steve B. Jiang
  • Publisher : CRC Press
  • Release : 21 September 2018
GET THIS BOOKGraphics Processing Unit-Based High Performance Computing in Radiation Therapy

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

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Image Processing in Radiation Therapy

Image Processing in Radiation Therapy
  • Author : Kristy K. Brock
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKImage Processing in Radiation Therapy

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,

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Encyclopedia of Image Processing

Encyclopedia of Image Processing
  • Author : Phillip A. Laplante
  • Publisher : CRC Press
  • Release : 08 November 2018
GET THIS BOOKEncyclopedia of Image Processing

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

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Medical Image Registration

Medical Image Registration
  • Author : Joseph V. Hajnal,Derek L.G. Hill
  • Publisher : CRC Press
  • Release : 27 June 2001
GET THIS BOOKMedical Image Registration

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

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Computer Vision Metrics

Computer Vision Metrics
  • Author : Scott Krig
  • Publisher : Apress
  • Release : 14 June 2014
GET THIS BOOKComputer Vision Metrics

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

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Integrated Imaging and Vision Techniques for Industrial Inspection

Integrated Imaging and Vision Techniques for Industrial Inspection
  • Author : Zheng Liu,Hiroyuki Ukida,Pradeep Ramuhalli,Kurt Niel
  • Publisher : Springer
  • Release : 24 September 2015
GET THIS BOOKIntegrated Imaging and Vision Techniques for Industrial Inspection

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection; includes in-depth descriptions of

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The Art of Astrophotography

The Art of Astrophotography
  • Author : Ian Morison
  • Publisher : Cambridge University Press
  • Release : 02 February 2017
GET THIS BOOKThe Art of Astrophotography

In The Art of Astrophotography, astronomer and Astronomy Now columnist Ian Morison provides the essential foundations of how to produce beautiful astronomical images. Every type of astroimaging is covered, from images of the Moon and planets, to the constellations, star clusters and nebulae within our Milky Way Galaxy and the faint light of distant galaxies. He achieves this through a series of worked examples and short project walk-throughs, detailing the equipment needed - starting with just a DSLR (digital single

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High Performance Silicon Imaging

High Performance Silicon Imaging
  • Author : Daniel Durini
  • Publisher : Elsevier
  • Release : 14 May 2014
GET THIS BOOKHigh Performance Silicon Imaging

High Performance Silicon Imaging covers the fundamentals of silicon image sensors, with a focus on existing performance issues and potential solutions. The book considers several applications for the technology as well. Silicon imaging is a fast growing area of the semiconductor industry. Its use in cell phone cameras is already well established, and emerging applications include web, security, automotive, and digital cinema cameras. Part one begins with a review of the fundamental principles of photosensing and the operational principles of

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Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies

Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
  • Author : Lucian Mihai Itu,Puneet Sharma,Constantin Suciu
  • Publisher : Springer
  • Release : 31 May 2017
GET THIS BOOKPatient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies

Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development of reduced-order multiscale hemodynamic models for coronary artery disease, aortic coarctation and whole body circulation, which can be applied in routine clinical settings for personalized diagnosis. Specific parameter estimation frameworks are introduced for calibrating the parameters of the models and high performance computing solutions are employed to reduce their execution time. The personalized computational models are validated against patient-specific measurements. The book is

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Euro-Par 2010 - Parallel Processing

Euro-Par 2010 - Parallel Processing
  • Author : Pasqua D'Ambra,Mario Guarracino,Domenico Talia
  • Publisher : Springer
  • Release : 02 September 2010
GET THIS BOOKEuro-Par 2010 - Parallel Processing

Annotation This book constitutes the refereed proceedings of the 16th International Euro-Par Conference held in Ischia, Italy, in August/September 2010. The 90 revised full papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical

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GPU Computing Gems

GPU Computing Gems
  • Author : Wen-mei W. Hwu
  • Publisher : Elsevier
  • Release : 08 December 2021
GET THIS BOOKGPU Computing Gems

"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--

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Statistical Shape and Deformation Analysis

Statistical Shape and Deformation Analysis
  • Author : Guoyan Zheng,Shuo Li,Gabor Szekely
  • Publisher : Academic Press
  • Release : 23 March 2017
GET THIS BOOKStatistical Shape and Deformation Analysis

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

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