'Affine registration' presentation slideshows

Affine registration - PowerPoint PPT Presentation

DTIAtlasBuilder

DTIAtlasBuilder

A tool to create an atlas from several DTI images. DTIAtlasBuilder. DTI Images. Adrien Kaiser Neuro Image Research and Analysis Laboratories University of North Carolina at Chapel Hill. DTI Atlas. Framework Download Online Slicer Extension GUI Basic Use Add DTI images

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689 views • 44 slides
Statistical Parametric Mapping (SPM) 1. Talk I: Spatial Pre-processing

Statistical Parametric Mapping (SPM) 1. Talk I: Spatial Pre-processing

Statistical Parametric Mapping (SPM) 1. Talk I: Spatial Pre-processing 2. Talk II: General Linear Model 3. Talk III: Statistical Inference 3. Talk IV: Experimental Design. Spatial Preprocessing & Computational Neuroanatomy With thanks to:

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812 views • 44 slides
Co-registration and Spatial Normalisation

Co-registration and Spatial Normalisation

Co-registration and Spatial Normalisation. Nazanin Derakshan Eddy Davelaar School of Psychology, Birkbeck University of London. What is Spatial Normalisation?.

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395 views • 39 slides
Diffusion MRI - Lesson 4 Atlases, Fibers and Profiles

Diffusion MRI - Lesson 4 Atlases, Fibers and Profiles

Diffusion MRI - Lesson 4 Atlases, Fibers and Profiles. Martin Styner UNC Thanks to Guido Gerig , NYU And many, many folks. Content. The UNC-NAMIC Atlas Fiber Analysis Unbiased DTI atlas building via DTIAtlasBuilder Tracking fibers via AutoTract

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333 views • 33 slides
Coregistration and Spatial Normalisation

Coregistration and Spatial Normalisation

Coregistration and Spatial Normalisation. Ana Saraiva Britt Hoffland. Statistical Parametric Map. Design matrix. fMRI time-series. kernel. Motion correction. Smoothing. General Linear Model. (Co-registration and) Spatial normalisation. Parameter Estimates. Standard

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324 views • 31 slides
Josh Snyder, MGH (algorithms) Dennis Jen, MGH (algorithms) Alex Yarmarkovich, BWH

Josh Snyder, MGH (algorithms) Dennis Jen, MGH (algorithms) Alex Yarmarkovich, BWH

EPI to conventional T1 registration: Develop software tool which can improve upon accuracy and/or robustness of affine registration of an EPI image to a conventional T1 image. Plan/Expected Challenges/Publication. Team. 1. Comparison tool to evaluate output quality compared to affine tools.

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141 views • 2 slides
Affine Registration in R m

Affine Registration in R m

Higher Dimensional Affine Registration and Applications. Affine Registration and Vision Applications Stereo Correspondences under Motion Assumption: Non-rigid motion that can be modeled using linear shape bases. Setup:

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154 views • 1 slides

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