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Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.ORCID iD: 0000-0003-2429-0842
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization, CMIV.ORCID iD: 0000-0002-9368-0177
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9466-9826
2006 (English)In: Proceedings of Volume Graphics, 2006, 75-78 p.Conference paper, Published paper (Refereed)
Abstract [en]

Direct volume haptics can provide both guidance and extra information during exploration of volumetric data. In this paper we present a novel approach to volume haptics enabling haptic exploration of tissue shape, borders and material properties in data despite low contrast and low signal to noise ratio, as is common in medical MRI data or low dose CT data. The method uses filtering based on implicit knowledge and addresses the problem of overlapping scalar ranges through the introduction of fuzzy classification and corresponding transfer functions for material properties as well as classification-based distance masking for haptic force direction.

Place, publisher, year, edition, pages
2006. 75-78 p.
Keyword [en]
volume haptics, MRI, classification
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-14407DOI: 10.2312/VG/VG06/075-078OAI: oai:DiVA.org:liu-14407DiVA: diva2:23455
Available from: 2007-05-14 Created: 2007-05-14 Last updated: 2015-09-22
In thesis
1. Direct Volume Haptics for Visualization
Open this publication in new window or tab >>Direct Volume Haptics for Visualization
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Visualization is the process of making something perceptible to the mind or imagination. The techniques for producing visual imagery of volumetric data have advanced immensely during the last decades to a point where each produced image can include an overwhelming amount of information. An increasingly viable solution to the limitations of the human sense of visual perception is to make use of not only vision, but also additional senses.

This thesis presents recent work on the development of principles and algorithms for generating representations of volumetric data through the sense of touch for the purpose of visualization. The primary idea introduced in this work is the concept of yielding constraints, that can be used to provide a continuous set of shapes as a representation of features of interest in various types of volumetric data. Some of the earlier identified standard human exploratory procedures can then be used which enables natural, intuitive and effective interaction with the data. The yielding constraints concept is introduced, and an algorithm based on haptic primitives is described, which forms a powerful yet versatile implementation of the yielding constraints. These methods are also extended to handle time-varying, moving and low quality data. A framework for multimodal visualization has been built on the presented methods, and this is used to demonstrate the applicability and versatility of the work through several example applications taken from different areas.

Place, publisher, year, edition, pages
Linköping: Institutionen för teknik och naturvetenskap, 2007. 76 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 0345-7524
Keyword
Haptic Visualization, Volumetric Data, Haptic Primitives, Shape Representations, Time-varying Data
National Category
Computer Engineering
Identifiers
urn:nbn:se:liu:diva-8771 (URN)978-91-85831-98-2 (ISBN)
Public defence
2007-05-25, K1, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 14:15 (English)
Opponent
Supervisors
Available from: 2007-05-14 Created: 2007-05-14 Last updated: 2015-09-22

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Lundin (Palmerius), KarljohanLundström, ClaesCooper, MatthewYnnerman, Anders

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