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DT-MRI Inspection and Visualization Gordon Kindlmann DT-MRI Inspection and Visualization Gordon Kindlmann Scientific Computing and Imaging Institute, School of Computing, University of Utah Gordon Kindlmann PhD (finishing) Computer Science, University of Utah Interested in methods for looking at DT-MRI data and visually communicating its structure Idea: two aspects of whats called visualization • Acquisition: get the data • Inspection: Show me the data verify data integrity, coordinates, and layout • Visualization: Show me the structures depict the form and character of features in the data • Analysis: extract and quantify features Scientific Computing and Imaging Institute, University of Utah z v1 x y R=| v1.x | G=| v1.y | B=| v1.z | st Fractional anisotropy (FA) RGB(1 eigenvector v1) Scientific Computing and Imaging Institute, University of Utah Backdrop: FA Color: RGB(v1) 1 glyph = 1 mm3 Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Scientific Computing and Imaging Institute, University of Utah Gordon Kindlmann PhD (finishing) Computer Science, University of Utah Interested in methods for looking at DT-MRI data and visually communicating its structure Idea: two aspects of whats called visualization • Acquisition: get the data • Inspection: Show me the data verify data integrity, coordinates, and layout • Visualization: Show me the structures depict the form and character of features in the data • Analysis: extract and quantify features Scientific Computing and Imaging Institute, University of Utah Inspection saves the day Sagittal slice: cingulum bundle, corpus callosum Scientific Computing and Imaging Institute, University of Utah Inspection saves the day Sagittal slice: cingulum bundle, corpus callosum Scientific Computing and Imaging Institute, University of Utah Inspection + Visualization Scalar shape metrics (anisotropy) • Barycentric shape space Glyphs • Boxes, spheres, cylinders, superquads • Culling based on anisotropy • Volume visualization • Isosurfaces of shape metrics • Transfer functions of shape Scientific Computing and Imaging Institute, University of Utah Space of tensor shape v3 λ3 λ1 + λ2 + λ3 = T λ 3 λ1 = λ2 = λ3 λ2 v 1 λ1 v2 λ2 λ1 λ >= λ >= λ spherical 1 2 3 linear planar Scientific Computing and Imaging Institute, University of Utah Scalar shape metrics Westin, 1997 cs cl cl cp Scientific Computing and Imaging Institute, University of Utah Scalar shape metrics Basser + Pierpaoli, 1996 1 - VR 1 - volume ratio FA RA fractional anisotropy relative anisotropy Scientific Computing and Imaging Institute, University of Utah Glyph shapes Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.10 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.15 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.20 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.25 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.30 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.35 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.40 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.45 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.50 Scientific Computing and Imaging Institute, University of Utah Culling FA = 0.55 Scientific Computing and Imaging Institute, University of Utah Volume Rendering Simple algorithm • Cast rays through volume • Measure tensor, tensor properties • Assign colors and opacities • Composite DT ⇒ FA, cl, cp Transfer function R, G, B, α Scientific Computing and Imaging Institute, University of Utah Volume Rendering Scientific Computing and Imaging Institute, University of Utah Volume Rendering Scientific Computing and Imaging Institute, University of Utah Volume Rendering Scientific Computing and Imaging Institute, University of Utah .
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