Coverart for item
The Resource Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017, Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors, (electronic book)

Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017, Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors, (electronic book)

Label
Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017
Title
Computational diffusion MRI
Title remainder
MICCAI Worskhop, Québec, Canada, September 2017
Statement of responsibility
Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors
Creator
Contributor
Subject
Genre
Language
eng
Summary
This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI'17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics
Member of
Cataloging source
YDX
Dewey number
570.285
Illustrations
illustrations
Index
index present
LC call number
RC386.6.M34
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2017
http://bibfra.me/vocab/lite/meetingName
CDMRI (Workshop)
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
2017
http://library.link/vocab/relatedWorkOrContributorName
  • Kaden, Enrico
  • Grusso, Francesco
  • Ning, Lipeng
  • Tax, Chantal M.W.
  • Veraart, Jelle
  • International Conference on Medical Image Computing and Computer-Assisted Intervention
Series statement
Mathematics and visualization
http://library.link/vocab/subjectName
  • Diffusion magnetic resonance imaging
  • Image Processing and Computer Vision
Label
Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017, Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors, (electronic book)
Instantiates
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Program Committee; Contents; Part I Data Acquisition and Modeling; Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites; 1 Introduction; 2 MRS and DW-MRS (Very) Briefly; 3 Geometrical Models for Tissue Microstructure Estimates Using the Diffusion of Brain Metabolites; 4 Computational Models for Cell Morphology Estimates Using the Diffusion of Brain Metabolites; 5 Conclusion; References; (k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior; 1 Introduction; 2 Background and Prior Work; 3 Methods
  • Part II Image PostprocessingDiffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone; 1 Introduction; 1.1 Desired Properties of a dMRI Segmenter; 2 Methods; 2.1 Feature Extraction; 2.2 Classifier Selection; 2.3 Morphological Filtering; 2.4 Comparison with Other Intracranial Mask Generation Methods; 3 Data, Training, and Testing; 3.1 Data; 3.2 Training; 3.3 Testing; 4 Results; 5 Conclusions; References; Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree; 1 Introduction; 2 Methods
  • 2.1 Discrete Representation of MAPs and Reorientation2.2 MAP Similarity Measure; 2.3 Diffeomorphic Registration of MAP Fields; 3 Results and Discussion; 4 Conclusion; References; Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis; 1 Introduction; 2 Related Work; 3 Diffusion Orientation Histogram Descriptors; 4 Experiments; 5 Discussion; References; Part III Tractography and Connectivity; Learning a Single Step of Streamline Tractography Based on Neural Networks; 1 Introduction; 2 Methods; 2.1 Input to the Network; 2.2 Output of the Network and Post Processing
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9783319738390
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-73839-0
Other physical details
illustrations.
Specific material designation
remote
System control number
  • on1030486236
  • (OCoLC)1030486236
Label
Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017, Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors, (electronic book)
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Program Committee; Contents; Part I Data Acquisition and Modeling; Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites; 1 Introduction; 2 MRS and DW-MRS (Very) Briefly; 3 Geometrical Models for Tissue Microstructure Estimates Using the Diffusion of Brain Metabolites; 4 Computational Models for Cell Morphology Estimates Using the Diffusion of Brain Metabolites; 5 Conclusion; References; (k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior; 1 Introduction; 2 Background and Prior Work; 3 Methods
  • Part II Image PostprocessingDiffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone; 1 Introduction; 1.1 Desired Properties of a dMRI Segmenter; 2 Methods; 2.1 Feature Extraction; 2.2 Classifier Selection; 2.3 Morphological Filtering; 2.4 Comparison with Other Intracranial Mask Generation Methods; 3 Data, Training, and Testing; 3.1 Data; 3.2 Training; 3.3 Testing; 4 Results; 5 Conclusions; References; Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree; 1 Introduction; 2 Methods
  • 2.1 Discrete Representation of MAPs and Reorientation2.2 MAP Similarity Measure; 2.3 Diffeomorphic Registration of MAP Fields; 3 Results and Discussion; 4 Conclusion; References; Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis; 1 Introduction; 2 Related Work; 3 Diffusion Orientation Histogram Descriptors; 4 Experiments; 5 Discussion; References; Part III Tractography and Connectivity; Learning a Single Step of Streamline Tractography Based on Neural Networks; 1 Introduction; 2 Methods; 2.1 Input to the Network; 2.2 Output of the Network and Post Processing
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9783319738390
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-73839-0
Other physical details
illustrations.
Specific material designation
remote
System control number
  • on1030486236
  • (OCoLC)1030486236

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