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High Performance Deformable Image Registration Algorithms for Manycore Processors

HIGH PRFRMNC DFRMBL IMG RGSTRTN ALGRTHM MNYCORE PRCSSRS

Medical Science & Research

Health, Medicine & Nursing

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

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Duration

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Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Biographies.
1: Introduction.
2: Unimodal B-Spline Registration.
3: Multimodal B-Spline Registration.
4: Analytic Vector Field Regularization for B-spline Parameterized Methods.
5: Deformable Registration Using Optical-Flow Methods.
6: Plastimatch&#x2014;An Open-Source Software for Radiotherapy Imaging.

High Performance Deformable Image Registration Algorithms for Manycore Processors.css-1p8rvzy{position:absolute;padding-left:8px;}

High Performance Deformable Image Registration Algorithms for Manycore Processors