Computational diffusion MRI : MICCAI Worskhop, Québec, Canada, September 2017 /: MICCAI Worskhop, Québec, Canada, September 2017. ([2018])

• Record Type: Book
• Further Information: Note: Enrico Kaden, Francesco Grusso, Lipeng Ning, Chantal M.W. Tax, Jelle Veraart, editors.
• Editors: Kaden, Enrico; Grusso, Francesco; Ning, Lipeng; Tax, Chantal M. W; Veraart, Jelle
• Other Names: CDMRI (Workshop), 9th; International Conference on Medical Image Computing and Computer-Assisted Intervention, 20th
• 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.
• Publisher Details: Cham : Springer
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource, illustrations
• Subjects: 570.285; Mathematics; Diffusion magnetic resonance imaging -- Congresses; Statistics; Computer science -- Mathematics; Bioinformatics; Computer vision; NATURE -- Reference; SCIENCE -- Life Sciences -- Biology; SCIENCE -- Life Sciences -- General; Diffusion magnetic resonance imaging; Medical -- Biostatistics; Mathematics -- Counting & Numeration; Computers -- Computer Science; Computers -- Computer Graphics; Probability & statistics; Numerical analysis; Life sciences: general issues; Image processing; Mathematics -- Applied; Maths for scientists; Electronic books; Conference papers and proceedings; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319738390; 3319738399
• Related ISBNs: 3319738380; 9783319738383
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