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  • 1
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier/MK, | Waltham, MA :Morgan Kaufmann,
    UID:
    almahu_9948026782902882
    Format: 1 online resource (vi, 114 pages) : , illustrations (some color)
    Edition: 1st edition
    ISBN: 0-12-407880-X
    Series Statement: Gale eBooks
    Content: 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. E
    Note: Description based upon print version of record. , Front Cover; High-Performance Deformable Image Registration Algorithms for Manycore Processors; Copyright Page; Contents; Biographies; 1 Introduction; 1.1 Introduction; 1.2 Applications of Deformable Image Registration; 1.3 Algorithmic Approaches to Deformable Registration; 1.4 Organization of Chapters; References; 2 Unimodal B-Spline Registration; 2.1 Introduction; 2.2 Overview of B-Spline Registration; 2.2.1 Using B-Splines to Represent the Deformation Field; 2.2.2 Computing the Cost Function; 2.2.3 Optimizing the B-Spline Coefficients; 2.3 B-Spline Registration on the GPU , 3.4.4 Optimizing the B-Spline Coefficients3.5 Performance Evaluation; 3.5.1 Registration Quality; 3.5.2 Sensitivity to Control-Point Spacing; 3.6 Related Work; 3.7 Summary; References; 4 Analytic Vector Field Regularization for B-spline Parameterized Methods; 4.1 Introduction; 4.2 Theory and Mathematical Formalism; 4.3 Algorithmic Implementation; 4.4 Performance Evaluation; 4.4.1 Registration Quality; 4.4.2 Sensitivity to Volume Size; 4.4.3 Sensitivity to Control-Point Spacing; 4.5 Summary; References; 5 Deformable Registration Using Optical-Flow Methods; 5.1 Introduction , 5.2 Demons Algorithm for Deformable Registration5.3 SIMD Version of Demons Algorithm; 5.4 Performance Evaluation; 5.5 Summary; References; 6 Plastimatch-An Open-Source Software for Radiotherapy Imaging; 6.1 Introduction; 6.2 Overview of Plastimatch; 6.2.1 Automatic 3D-3D Registration; 6.2.2 Cone-Beam CT and Digitally Reconstructed Radiographs; 6.2.3 Interactive (Landmark-Based) Image Registration; 6.2.4 2D-3D Registration; 6.2.5 Automatic Feature Detection and Matching; 6.2.6 Data Interchange; 6.2.7 User Interface; 6.3 Licensing; References , English
    Additional Edition: ISBN 1-299-71202-9
    Additional Edition: ISBN 0-12-407741-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier/MK, | Waltham, MA :Morgan Kaufmann,
    UID:
    edoccha_9960073751602883
    Format: 1 online resource (vi, 114 pages) : , illustrations (some color)
    Edition: 1st edition
    ISBN: 0-12-407880-X
    Series Statement: Gale eBooks
    Content: 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. E
    Note: Description based upon print version of record. , Front Cover; High-Performance Deformable Image Registration Algorithms for Manycore Processors; Copyright Page; Contents; Biographies; 1 Introduction; 1.1 Introduction; 1.2 Applications of Deformable Image Registration; 1.3 Algorithmic Approaches to Deformable Registration; 1.4 Organization of Chapters; References; 2 Unimodal B-Spline Registration; 2.1 Introduction; 2.2 Overview of B-Spline Registration; 2.2.1 Using B-Splines to Represent the Deformation Field; 2.2.2 Computing the Cost Function; 2.2.3 Optimizing the B-Spline Coefficients; 2.3 B-Spline Registration on the GPU , 3.4.4 Optimizing the B-Spline Coefficients3.5 Performance Evaluation; 3.5.1 Registration Quality; 3.5.2 Sensitivity to Control-Point Spacing; 3.6 Related Work; 3.7 Summary; References; 4 Analytic Vector Field Regularization for B-spline Parameterized Methods; 4.1 Introduction; 4.2 Theory and Mathematical Formalism; 4.3 Algorithmic Implementation; 4.4 Performance Evaluation; 4.4.1 Registration Quality; 4.4.2 Sensitivity to Volume Size; 4.4.3 Sensitivity to Control-Point Spacing; 4.5 Summary; References; 5 Deformable Registration Using Optical-Flow Methods; 5.1 Introduction , 5.2 Demons Algorithm for Deformable Registration5.3 SIMD Version of Demons Algorithm; 5.4 Performance Evaluation; 5.5 Summary; References; 6 Plastimatch-An Open-Source Software for Radiotherapy Imaging; 6.1 Introduction; 6.2 Overview of Plastimatch; 6.2.1 Automatic 3D-3D Registration; 6.2.2 Cone-Beam CT and Digitally Reconstructed Radiographs; 6.2.3 Interactive (Landmark-Based) Image Registration; 6.2.4 2D-3D Registration; 6.2.5 Automatic Feature Detection and Matching; 6.2.6 Data Interchange; 6.2.7 User Interface; 6.3 Licensing; References , English
    Additional Edition: ISBN 1-299-71202-9
    Additional Edition: ISBN 0-12-407741-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier/MK, | Waltham, MA :Morgan Kaufmann,
    UID:
    edocfu_9960073751602883
    Format: 1 online resource (vi, 114 pages) : , illustrations (some color)
    Edition: 1st edition
    ISBN: 0-12-407880-X
    Series Statement: Gale eBooks
    Content: 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. E
    Note: Description based upon print version of record. , Front Cover; High-Performance Deformable Image Registration Algorithms for Manycore Processors; Copyright Page; Contents; Biographies; 1 Introduction; 1.1 Introduction; 1.2 Applications of Deformable Image Registration; 1.3 Algorithmic Approaches to Deformable Registration; 1.4 Organization of Chapters; References; 2 Unimodal B-Spline Registration; 2.1 Introduction; 2.2 Overview of B-Spline Registration; 2.2.1 Using B-Splines to Represent the Deformation Field; 2.2.2 Computing the Cost Function; 2.2.3 Optimizing the B-Spline Coefficients; 2.3 B-Spline Registration on the GPU , 3.4.4 Optimizing the B-Spline Coefficients3.5 Performance Evaluation; 3.5.1 Registration Quality; 3.5.2 Sensitivity to Control-Point Spacing; 3.6 Related Work; 3.7 Summary; References; 4 Analytic Vector Field Regularization for B-spline Parameterized Methods; 4.1 Introduction; 4.2 Theory and Mathematical Formalism; 4.3 Algorithmic Implementation; 4.4 Performance Evaluation; 4.4.1 Registration Quality; 4.4.2 Sensitivity to Volume Size; 4.4.3 Sensitivity to Control-Point Spacing; 4.5 Summary; References; 5 Deformable Registration Using Optical-Flow Methods; 5.1 Introduction , 5.2 Demons Algorithm for Deformable Registration5.3 SIMD Version of Demons Algorithm; 5.4 Performance Evaluation; 5.5 Summary; References; 6 Plastimatch-An Open-Source Software for Radiotherapy Imaging; 6.1 Introduction; 6.2 Overview of Plastimatch; 6.2.1 Automatic 3D-3D Registration; 6.2.2 Cone-Beam CT and Digitally Reconstructed Radiographs; 6.2.3 Interactive (Landmark-Based) Image Registration; 6.2.4 2D-3D Registration; 6.2.5 Automatic Feature Detection and Matching; 6.2.6 Data Interchange; 6.2.7 User Interface; 6.3 Licensing; References , English
    Additional Edition: ISBN 1-299-71202-9
    Additional Edition: ISBN 0-12-407741-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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