PPT-Voxel

Based Analysis of Quantitative MultiParameter Mapping MPM Brain Data for Studying Tissue Microstructure Macroscopic Morphology and Morphometry John Ashburner Wellcome Trust Centre for . -Based . Morphometry. John . Ashburner. Wellcome. Trust Centre for . Neuroimaging. ,. 12 Queen Square, London, UK.. Inter-subject variability. ...diverse . and dissimilar fish [brains] can be referred as a whole to identical functions of very different coordinate . CMSC . 491/635. Volume data. 3D Scalar Field: . F(x,y,z) = ?. Implicit functions. Voxel grid. Scalar data. Density. Temperature. Wind speed. …. Implicit functions. Blobs . [Blinn 82]. Metaballs . [Nishimura 83]. and decoding. Kay H. Brodersen. Computational Neuroeconomics Group. Institute of Empirical Research in Economics. University of Zurich. Machine Learning and Pattern Recognition Group. Department of Computer Science. Realigning and unwarping. Methods for Dummies. Sebastian Bobadilla. Charlie Harrison. Contents. Pre-processing in fMRI. Motion . in fMRI. Motion . prevention. Motion . correction. Realignment . Registration. Methods & models for fMRI data . analysis. October 2013. With many thanks for slides & images to:. FIL Methods . group & Tom Nichols. Klaas Enno Stephan . Translational . Neuromodeling. Unit (TNU). Realigning and unwarping. Methods for Dummies. Sebastian Bobadilla. Charlie Harrison. Contents. Pre-processing in fMRI. Motion . in fMRI. Motion . prevention. Motion . correction. Realignment . Registration. Overview. Theory. Basic . physics. Tensor. Diffusion . imaging . Practice. How . do you do DTI?. . Tractography. . DTI . in . FSL and other programs. Diffusion . Tensor Imaging. Brownian motion. models for fMRI . data. Klaas Enno Stephan. (with 90% of slides kindly contributed by . Kay H. Brodersen. ). Translational . Neuromodeling. Unit (TNU). Institute for Biomedical Engineering. University . Andrew Brock. Introduction. Choice of representation is key!. Background: . VoxNet. Maturana. . et al. 2015. Background: VAEs. Background: VAEs. VAE Architecture. Reconstruction Objective. Standard Binary Cross-Entropy. Ziyuan. Pan and Ruth-Mary . deSouza. With thanks to Ged Ridgway. December 2015. Co-registration – the theory. Recap of pre-pre-processing. Recap of pre-processing steps so far:. NIFTI files or (.. Roman Pryamonosov. INM RAS. , . MIPT . Work group of circulatory and vascular diseases modeling (INM RAS). RSF.  14-31-00024 (. mew laboratories. ). Outline. Definitions and instruments. Anatomical background. Chumbley. Laboratory for Social and Neural Systems Research. Institute for Empirical Research in Economics. University of Zurich. . With many thanks for slides & images to:. FIL Methods group. Overview of SPM. Samuli Laine Tero Karras. NVIDIA Research. “Bitmaps” vs “Vectors”. 2. Bitmap 2D image. Vector 2D image. Why Not “Bitmaps” in 3D?. 3. ?. “Bitmap” 3D object. Vector 3D object. Voxel datasets often consist of volume data . & DARTEL. Ged . Ridgway, London. With thanks to John . Ashburner. and the FIL Methods . Group. Aims of computational neuroanatomy. Many interesting and clinically important questions might relate to the shape or local size of regions of the brain.