Literature DB >> 19834220

Exploring 3D DTI fiber tracts with linked 2D representations.

Radu Jianu1, Cağatay Demiralp, David H Laidlaw.   

Abstract

We present a visual exploration paradigm that facilitates navigation through complex fiber tracts by combining traditional 3D model viewing with lower dimensional representations. To this end, we create standard streamtube models along with two two-dimensional representations, an embedding in the plane and a hierarchical clustering tree, for a given set of fiber tracts. We then link these three representations using both interaction and color obtained by embedding fiber tracts into a perceptually uniform color space. We describe an anecdotal evaluation with neuroscientists to assess the usefulness of our method in exploring anatomical and functional structures in the brain. Expert feedback indicates that, while a standalone clinical use of the proposed method would require anatomical landmarks in the lower dimensional representations, the approach would be particularly useful in accelerating tract bundle selection. Results also suggest that combining traditional 3D model viewing with lower dimensional representations can ease navigation through the complex fiber tract models, improving exploration of the connectivity in the brain.

Mesh:

Year:  2009        PMID: 19834220     DOI: 10.1109/TVCG.2009.141

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  9 in total

1.  Information-theoretic approach for automated white matter fiber tracts reconstruction.

Authors:  Ferran Prados; Imma Boada; Miquel Feixas; Alberto Prats-Galino; Gerard Blasco; Josep Puig; Salvador Pedraza
Journal:  Neuroinformatics       Date:  2012-07

2.  RemBrain: Exploring Dynamic Biospatial Networks with Mosaic Matrices and Mirror Glyphs.

Authors:  Chihua Ma; Filippo Pellolio; Daniel A Llano; Kevin Ambrose Stebbings; Robert V Kenyon; G Elisabeta Marai
Journal:  J Imaging Sci Technol       Date:  2017-11       Impact factor: 0.400

3.  An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.

Authors:  Fan Zhang; Ye Wu; Isaiah Norton; Laura Rigolo; Yogesh Rathi; Nikos Makris; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

4.  Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.

Authors:  A Wentzel; P Hanula; T Luciani; B Elgohari; H Elhalawani; G Canahuate; D Vock; C D Fuller; G E Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2019-08-22       Impact factor: 4.579

5.  Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations.

Authors:  Timothy Luciani; Andrew Burks; Cassiano Sugiyama; Jonathan Komperda; G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-08-20       Impact factor: 4.579

6.  GRACE: A visual comparison framework for integrated spatial and non-spatial geriatric data.

Authors:  Adrian Maries; Nathan Mays; Meganolson Hunt; Kim F Wong; William Layton; Robert Boudreau; Caterina Rosano; G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

7.  Human brain functional MRI and DTI visualization with virtual reality.

Authors:  Bin Chen; John Moreland; Jingyu Zhang
Journal:  Quant Imaging Med Surg       Date:  2011-12

8.  Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery using Diffusion Tractography and Convolutional Neural Networks.

Authors:  Haotian Xu; Ming Dong; Min-Hee Lee; Nolan OrHara; Eishi Asano; Jeong-Won Jeong
Journal:  IEEE Trans Med Imaging       Date:  2019-02-27       Impact factor: 11.037

9.  QuickBundles, a Method for Tractography Simplification.

Authors:  Eleftherios Garyfallidis; Matthew Brett; Marta Morgado Correia; Guy B Williams; Ian Nimmo-Smith
Journal:  Front Neurosci       Date:  2012-12-11       Impact factor: 4.677

  9 in total

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