MultiVis project

A Multi-modal Visualisation Environment for Interactive Analysis of Medical Data

Netherlands Organisation for Scientific Research (NWO), research program Visual Interactive Effective Worlds (N 643.100.602)
Avan Suinesiaputra, PhD

Introduction

Multi-Vis is based on the collaboration between three Dutch research groups: Division of Image Processing (LKEB), Leiden University Medical Center; Section Computational Science (SCS), University of Amsterdam; and Human Media Interaction Group (HMI), University of Twente.

Goals

Multi-Vis is based on the collaboration between three Dutch research groups: Section Computational Science (SCS), University of Amsterdam; and Human Media Interaction Group (HMI), University of Twente and LKEB.

The overall goal of the project is to develop a multi-modal visual exploration environment for the image-based analysis of medical data, which will allow interactive user steering performed in intuitive and flexible manner using visualization and interaction features of both desktop and VR systems. The semi-automated segmentation of vascular structures is the specific application domain for this project.

The project consists of three complementary parts:

  • Semi-automated Segmentation and Registration of Medical Data (LKEB);
  • A Multi-modal Visualization Framework (SCS);
  • Adaptive Multi-modal Visualization and Interaction (HMI).

Status

Finished.

Publications

  1. Suinesiaputra A, de Koning PJ, Zudilova-Seinstra E, Reiber JH, van der Geest RJ. Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model. Int J Cardiovasc Imaging. 2011 Dec 9. [Epub ahead of print].
  2. van Schooten BW, van Dijk EMAG, Suinesiaputra A, Reiber JHC: Interactive navigation of segmented MR angiograms using simultaneous curved planar and volume visualizations, International Journal of Computer Assisted Radiology and Surgery Int J Comput Assist Radiol Surg. 2011;6(5):591-599.
  3. Zudilova-Seinstra EV, de Koning PJH, Suinesiaputra A, van Schooten BW, van der Geest RJ, Reiber JHC, Sloot PMA. Evaluation of 2D and 3D glove input applied to medical image analysis. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES 2010;68 (6) 355-369.
  4. Zudilova-Seinstra EV, de Koning PJH, Suinesiaputra A, van Schooten BW, van der Geest RJ, Reiber JHC, Sloot PMA. Evaluation of 2D and 3D glove input applied to medical image analysis. International Journal of Human Computer Studies 2009,doi:10.1016/j.ijhcs.2009.08.001.
  5. Zudilova-Seinstra E, van Schooten B, Suinesiaputra A, van der Geest RJ, van Dijk B, Reiber JHC, Sloot PMA. Exploring individual user differences in the 2D/3D interaction with medical image data. Virtual Reality 2009, DOI 10.1007/s10055-009-0131-4.
  6. Zudilova-Seinstra EV, de Koning PJH, Suinesiaputra A, van der Geest RJ, Reiber JHC, Sloot PMA. Exploring 2D/3D Input Techniques for Medical Image Analysis, International Conference on Information Visualisation, track on Biomedical Visualisation, Barcelona, Spain, 14-17 July 2009, vol. 2., pp. 147-152, IEEE Computer Society 2009.

Contact

Rob J. van der Geest, PhD.
Division of Image Processing
Department of Radiology, 1-C2S
Leiden University Medical Center
P.O. Box 9600
2300 RC Leiden
The Netherlands
Tel. +31 (0)71 526 2138
Fax. +31 (0)71 526 6801
e-mail: R.J.van_der_Geest@lumc.nl