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High Performance Deformable Image Registration Algorithms for Manycore Processors

Author: James Shackleford

Publisher: Newnes

Published: 2013-06-28

Total Pages: 123

ISBN-13: 012407880X

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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

Book Synopsis High Performance Deformable Image Registration Algorithms for Manycore Processors by : James Shackleford

Download or read book High Performance Deformable Image Registration Algorithms for Manycore Processors written by James Shackleford and published by Newnes. This book was released on 2013-06-28 with total page 123 pages. Available in PDF, EPUB and Kindle. Book 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

High-performance Image Registration Algorithms for Multi-core Processors

Author: James Anthony Shackleford

Publisher:

Published: 2013

Total Pages: 246

ISBN-13:

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Advisor: Nagarajan Kandasamy.

Book Synopsis High-performance Image Registration Algorithms for Multi-core Processors by : James Anthony Shackleford

Download or read book High-performance Image Registration Algorithms for Multi-core Processors written by James Anthony Shackleford and published by . This book was released on 2013 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advisor: Nagarajan Kandasamy.

Personalization in Modern Radiation Oncology: Predictions, Prognosis and Survival

Author: Francesco Cellini

Publisher: Frontiers Media SA

Published: 2022-12-01

Total Pages: 267

ISBN-13: 2832508235

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Book Synopsis Personalization in Modern Radiation Oncology: Predictions, Prognosis and Survival by : Francesco Cellini

Download or read book Personalization in Modern Radiation Oncology: Predictions, Prognosis and Survival written by Francesco Cellini and published by Frontiers Media SA. This book was released on 2022-12-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Processing in Radiation Therapy

Author: Kristy K. Brock

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 269

ISBN-13: 1439830185

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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

Book Synopsis Image Processing in Radiation Therapy by : Kristy K. Brock

Download or read book Image Processing in Radiation Therapy written by Kristy K. Brock and published by CRC Press. This book was released on 2016-04-19 with total page 269 pages. Available in PDF, EPUB and Kindle. Book 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

Evaluation of the Performance of Different Deformable Image Registration Algorithms Using Mobile Targets

Author: Justin Gerard Jaskowiak

Publisher:

Published: 2016

Total Pages: 86

ISBN-13:

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Book Synopsis Evaluation of the Performance of Different Deformable Image Registration Algorithms Using Mobile Targets by : Justin Gerard Jaskowiak

Download or read book Evaluation of the Performance of Different Deformable Image Registration Algorithms Using Mobile Targets written by Justin Gerard Jaskowiak and published by . This book was released on 2016 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:

High-Performance Medical Image Processing

Author: Sanjay Saxena

Publisher: CRC Press

Published: 2022-07-07

Total Pages: 337

ISBN-13: 1000410374

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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 computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

Book Synopsis High-Performance Medical Image Processing by : Sanjay Saxena

Download or read book High-Performance Medical Image Processing written by Sanjay Saxena and published by CRC Press. This book was released on 2022-07-07 with total page 337 pages. Available in PDF, EPUB and Kindle. Book 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 computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

Encyclopedia of Image Processing

Author: Phillip A. Laplante

Publisher: CRC Press

Published: 2018-11-08

Total Pages: 856

ISBN-13: 1351032739

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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.

Book Synopsis Encyclopedia of Image Processing by : Phillip A. Laplante

Download or read book Encyclopedia of Image Processing written by Phillip A. Laplante and published by CRC Press. This book was released on 2018-11-08 with total page 856 pages. Available in PDF, EPUB and Kindle. Book 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.

Graphics Processing Unit-Based High Performance Computing in Radiation Therapy

Author: Xun Jia

Publisher: CRC Press

Published: 2018-09-21

Total Pages: 396

ISBN-13: 1482244799

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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.

Book Synopsis Graphics Processing Unit-Based High Performance Computing in Radiation Therapy by : Xun Jia

Download or read book Graphics Processing Unit-Based High Performance Computing in Radiation Therapy written by Xun Jia and published by CRC Press. This book was released on 2018-09-21 with total page 396 pages. Available in PDF, EPUB and Kindle. Book 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.

High-Performance Deformable Image Registration for Medical Applications

Author: R. Andrew II Benton

Publisher:

Published: 2015

Total Pages: 60

ISBN-13:

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Spline based deformation methods are common in medical imaging due to their robustness and accuracy. These methods require a signi cant amount of computation time in order to obtain a sufficiently accurate spatial deformation between two or more image volumes. This work focuses on comparing the thin-plate spline registration technique against the bspline on a variety of hardware architectures. The architectures in question include the common i5/i7 architecture with single and multiple threads, nVidia's CUDA architecture on the GTX760, and Intel's Xeon Phi architecture.

Book Synopsis High-Performance Deformable Image Registration for Medical Applications by : R. Andrew II Benton

Download or read book High-Performance Deformable Image Registration for Medical Applications written by R. Andrew II Benton and published by . This book was released on 2015 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spline based deformation methods are common in medical imaging due to their robustness and accuracy. These methods require a signi cant amount of computation time in order to obtain a sufficiently accurate spatial deformation between two or more image volumes. This work focuses on comparing the thin-plate spline registration technique against the bspline on a variety of hardware architectures. The architectures in question include the common i5/i7 architecture with single and multiple threads, nVidia's CUDA architecture on the GTX760, and Intel's Xeon Phi architecture.

Artificial Intelligence Applications for Health Care

Author: Mitul Kumar Ahirwal

Publisher: CRC Press

Published: 2022-04-15

Total Pages: 332

ISBN-13: 1000570304

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This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book. Key Features Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.

Book Synopsis Artificial Intelligence Applications for Health Care by : Mitul Kumar Ahirwal

Download or read book Artificial Intelligence Applications for Health Care written by Mitul Kumar Ahirwal and published by CRC Press. This book was released on 2022-04-15 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book. Key Features Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.