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Conference paper2009Peer reviewed

Segmentation and Visualization of 3D Medical Images through Haptic Rendering

Nyström, Ingela; Malmberg, Filip; Vidholm, Erik; Bengtsson, Ewert

Abstract

High-dimensional and high-resolution image data is increasingly produced by modern medical imaging equipment. As a consequence, the need for efficient interactive tools for segmentation and visualization of these medical images is also increasing. Existing software include state-of-the-art algorithms, but in most cases the interaction part is limited to 2D mouse/keyboard, despite the tasks being highly 3D oriented. This project involves interactive medical image visualization and segmentation, where true 3D interaction is obtained with stereo graphics and haptic feedback. Well-known image segmentation algorithms, e.g., fast marching, fuzzy connectedness, deformable models, and live-wire, have been implemented in a framework allowing the user to interact with the algorithms and the volumetric data in an efficient manner. The data is visualized via multi-planar reformatting, surface rendering, and hardware-accelerated volume rendering. We present a case study where liver segmentation is performed in CT images with high accuracy and precision

Keywords

volume haptics; live-wire; deformable simplex mesh; fast marching; volume rendering

Published in


Publisher: Publishing Center of BSU

Conference

10th International Conference on Pattern Recognition and Information Processing (PRIP 2009)

      SLU Authors

    • Nyström, Ingela

      • Centre for Image Analysis, Swedish University of Agricultural Sciences
      • Malmberg, Filip

        • Centre for Image Analysis, Swedish University of Agricultural Sciences
        • Bengtsson, Ewert

          • Centre for Image Analysis, Swedish University of Agricultural Sciences

        Permanent link to this page (URI)

        https://res.slu.se/id/publ/27358