Literature DB >> 26357120

Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization.

Jian Chen1, Haipeng Cai, A P Auchus, D H Laidlaw.   

Abstract

We report the impact of display characteristics (stereo and size) on task performance in diffusion magnetic resonance imaging (DMRI) in a user study with 12 participants. The hypotheses were that (1) adding stereo and increasing display size would improve task accuracy and reduce completion time, and (2) the greater the complexity of a spatial task, the greater the benefits of an improved display. Thus we expected to see greater performance gains when detailed visual reasoning was required. Participants used dense streamtube visualizations to perform five representative tasks: (1) determine the higher average fractional anisotropy (FA) values between two regions, (2) find the endpoints of fiber tracts, (3) name a bundle, (4) mark a brain lesion, and (5) judge if tracts belong to the same bundle. Contrary to our hypotheses, we found the task completion time was not improved by the use of the larger display and that performance accuracy was hurt rather than helped by the introduction of stereo in our study with dense DMRI data. Bigger was not always better. Thus cautious should be taken when selecting displays for scientific visualization applications. We explored the results further using the body-scale unit and subjective size and stereo experiences.

Entities:  

Mesh:

Year:  2012        PMID: 26357120      PMCID: PMC4729196          DOI: 10.1109/TVCG.2012.216

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


  16 in total

1.  In vivo fiber tractography using DT-MRI data.

Authors:  P J Basser; S Pajevic; C Pierpaoli; J Duda; A Aldroubi
Journal:  Magn Reson Med       Date:  2000-10       Impact factor: 4.668

Review 2.  Visual objects in context.

Authors:  Moshe Bar
Journal:  Nat Rev Neurosci       Date:  2004-08       Impact factor: 34.870

3.  Effects of immersion on visual analysis of volume data.

Authors:  Bireswar Laha; Kriti Sensharma; James D Schiffbauer; Doug A Bowman
Journal:  IEEE Trans Vis Comput Graph       Date:  2012-04       Impact factor: 4.579

4.  Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields.

Authors:  Marcel Hlawatsch; Joachim E Vollrath; Filip Sadlo; Daniel Weiskopf
Journal:  IEEE Trans Vis Comput Graph       Date:  2010-08-26       Impact factor: 4.579

5.  Texturing of layered surfaces for optimal viewing.

Authors:  Alethea S Bair; Donald H House; Colin Ware
Journal:  IEEE Trans Vis Comput Graph       Date:  2006 Sep-Oct       Impact factor: 4.579

6.  A taxonomy of 3D occlusion management for visualization.

Authors:  Niklas Elmqvist; Philippas Tsigas
Journal:  IEEE Trans Vis Comput Graph       Date:  2008 Sep-Oct       Impact factor: 4.579

7.  Comparing 3D vector field visualization methods: a user study.

Authors:  Andrew S Forsberg; Jian Chen; David H Laidlaw
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

8.  Comparison of path visualizations and cognitive measures relative to travel technique in a virtual environment.

Authors:  Catherine A Zanbaka; Benjamin C Lok; Sabarish V Babu; Amy C Ulinski; Larry F Hodges
Journal:  IEEE Trans Vis Comput Graph       Date:  2005 Nov-Dec       Impact factor: 4.579

9.  Measuring visual clutter.

Authors:  Ruth Rosenholtz; Yuanzhen Li; Lisa Nakano
Journal:  J Vis       Date:  2007-08-16       Impact factor: 2.240

10.  Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI.

Authors:  Stephen Correia; Stephanie Y Lee; Thom Voorn; David F Tate; Robert H Paul; Song Zhang; Stephen P Salloway; Paul F Malloy; David H Laidlaw
Journal:  Neuroimage       Date:  2008-05-24       Impact factor: 6.556

View more
  3 in total

1.  Validation of SplitVectors Encoding for Quantitative Visualization of Large-Magnitude-Range Vector Fields.

Authors:  Garnett W Bryant; Wesley Griffin; Judith E Terrill
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-03-09       Impact factor: 4.579

2.  ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis.

Authors:  Guohao Zhang; Peter Kochunov; Elliot Hong; Sinead Kelly; Christopher Whelan; Neda Jahanshad; Paul Thompson; Jian Chen
Journal:  BMC Bioinformatics       Date:  2017-06-06       Impact factor: 3.169

Review 3.  Use of computational modeling combined with advanced visualization to develop strategies for the design of crop ideotypes to address food security.

Authors:  A J Christensen; Venkatraman Srinivasan; John C Hart; Amy Marshall-Colon
Journal:  Nutr Rev       Date:  2018-05-01       Impact factor: 7.110

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.