<p><i>High Performance Deformable Image Registration Algorithms for Manycore Processors</i> 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
High Performance Deformable Image Registration Algorithms for Manycore Processors
β Scribed by James Shackleford, Nagarajan Kandasamy and Gregory Sharp (Auth.)
- Year
- 2014
- Tongue
- English
- Leaves
- 116
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Front-matter, Pages i,iii
Copyright, Page iv
Biographies, Page vii
Chapter 1 - Introduction, Pages 1-12
Chapter 2 - Unimodal B-Spline Registration, Pages 13-43
Chapter 3 - Multimodal B-Spline Registration, Pages 45-74
Chapter 4 - Analytic Vector Field Regularization for B-spline Parameterized Methods, Pages 75-93
Chapter 5 - Deformable Registration Using Optical-Flow Methods, Pages 95-106
Chapter 6 - PlastimatchβAn Open-Source Software for Radiotherapy Imaging, Pages 107-114
π SIMILAR VOLUMES
This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using diff
<p>This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using d
<p><span>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
<p>This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of the "E. Majorana" Centre for Scientific Culture, June 30 - July 8, 2001. I
<p><span>To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. </span></p><p><span>Β </span></