Literature DB >> 17080836

Feature aligned volume manipulation for illustration and visualization.

Carlos D Correa1, Deborah Silver, Min Chen.   

Abstract

In this paper we describe a GPU-based technique for creating illustrative visualization through interactive manipulation of volumetric models. It is partly inspired by medical illustrations, where it is common to depict cuts and deformation in order to provide a better understanding of anatomical and biological structures or surgical processes, and partly motivated by the need for a real-time solution that supports the specification and visualization of such illustrative manipulation. We propose two new feature-aligned techniques, namely surface alignment and segment alignment, and compare them with the axis-aligned techniques which was reported in previous work on volume manipulation. We also present a mechanism for defining features using texture volumes, and methods for computing correct normals for the deformed volume in respect to different alignments. We describe a GPU-based implementation to achieve real-time performance of the techniques and a collection of manipulation operators including peelers, retractors, pliers and dilators which are adaptations of the metaphors and tools used in surgical procedures and medical illustrations. Our approach is directly applicable in medical and biological illustration, and we demonstrate how it works as an interactive tool for focus+context visualization, as well as a generic technique for volume graphics.

Mesh:

Year:  2006        PMID: 17080836     DOI: 10.1109/TVCG.2006.144

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


  4 in total

Review 1.  Volume visualization: a technical overview with a focus on medical applications.

Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Generalized temporal focus + context framework for improved medical data exploration.

Authors:  Nadezhda Radeva; Lucien Levy; James Hahn
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

3.  Interactive diffusion tensor tractography visualization for neurosurgical planning.

Authors:  Alexandra J Golby; Gordon Kindlmann; Isaiah Norton; Alexander Yarmarkovich; Steven Pieper; Ron Kikinis
Journal:  Neurosurgery       Date:  2011-02       Impact factor: 4.654

4.  A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation.

Authors:  Min Chen; Alfie Abdul-Rahman; Deborah Silver; Mateu Sbert
Journal:  Entropy (Basel)       Date:  2022-02-16       Impact factor: 2.524

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.